Introduction to Odoo Pilot
What is Odoo Pilot?
Odoo Pilot is an AI-powered workspace built for Odoo partners, consultants, freelancers, developers, and implementation teams. It helps users move from client requirements to structured Odoo outputs such as estimates, implementation plans, mockups, custom modules, website pages, database configuration, and project-specific Odoo guidance.
Instead of managing requirements, files, chats, code, and execution notes in separate tools, Odoo Pilot keeps everything organized inside project-based workspaces.
Who is Odoo Pilot for?
Odoo Pilot is designed for:
- Odoo consultants
- Odoo partners and agencies
- Freelance Odoo developers
- Project managers
- Functional consultants
- Business analysts
- Technical developers
- Implementation teams
What can users do with Odoo Pilot?
Users can:
- Analyze client requirements
- Generate gap analysis reports
- Prepare estimates and timelines
- Create mockups for client approval
- Plan implementation tasks
- Configure standard Odoo flows
- Import master data through CSV or Excel
- Customize Odoo using Pilot Studio
- Generate complete Odoo modules
- Build website pages and snippets
- Connect GitHub for code workflow
- Track execution history and rollback where supported
- Ask Odoo-specific questions inside the project context
Main Odoo Pilot Modes
Odoo Pilot includes these working modes:
Mode | Purpose |
Pre-Sales Mode | Estimate requirements, prepare gap analysis, timelines, proposals, and mockups |
Implementation Mode | Configure standard Odoo flows, generate tasks, validate data, and execute approved setup |
Pilot Studio | Apply controlled Odoo-side customization such as fields, views, menus, and automation |
Module Builder Mode | Generate, improve, or fix custom Odoo modules and connectors |
Website Builder Mode | Create Odoo website pages, snippets, sections, and website module assets |
Ask Odoo | Ask project-specific Odoo questions and get guided answers |
How It Works
Overview
Odoo Pilot follows a project-based workflow. A user creates a project, adds requirements or files, selects the correct mode, reviews the AI output, and then continues with execution, download, export, GitHub push, or refinement depending on the selected mode.
Step-by-Step Workflow
Create a project
Start by creating a dedicated workspace for a client, internal task, module, website, or implementation. Each project keeps its own chats, files, tasks, Odoo connection, GitHub connection, instructions, and outputs.
Add project context
Users can add:
- Client requirements
- Screenshots
- Odoo error messages
- CSV or Excel files
- Existing module ZIP files
- Website designs
- Figma references
- Project instructions
Select the correct mode
Choose the mode based on the task type:
- Use Pre-Sales for estimates and mockups
- Use Implementation for standard setup and data import
- Use Pilot Studio for direct Odoo customization
- Use Module Builder for custom module code
- Use Website Builder for Odoo website pages and snippets
- Use Ask Odoo for guidance and troubleshooting
Send the requirement
Write the requirement clearly. Include the Odoo version, app name, expected output, business rules, field values, and any files required for the task.
Review the output
Odoo Pilot may return:
- Requirement understanding
- Scope summary
- Task plan
- Generated mockup
- Import template
- Code preview
- Website output
- Execution summary
- Missing information request
- Footprints and rollback option where supported
Execute, export, or continue
Depending on the mode, the user may:
- Execute approved tasks in Odoo
- Reimplement failed or incomplete tasks
- Download CSV or Excel files
- Download generated module ZIP files
- Push generated code to GitHub
- Review website preview
- Continue the same task with more details
H1: AI Code Review for Odoo: Auto-Audit Every PR with Claude
Every pull request that lands in your Odoo repository is a small bet. Most of the time it pays off, but the one PR that slips a broken access rule or a silent ORM override past review is the one that surfaces three weeks later as a production incident. Human reviewers are good, but they get tired, they skim under deadline pressure, and security checks are the first thing dropped when a release is due. An AI code review pipeline closes that gap by putting a consistent reviewer on every single diff, and it is one of the highest leverage changes I recommend during an Odoo ERP implementation for SMEs where the team is small and review capacity is the bottleneck.
H2: Why Odoo Codebases Need a Review Gate More Than Most
That breadth is exactly what makes manual review hard. A reviewer who is strong on Python may not catch a subtle access rights regression, and the person who understands the security model may not be in the room that day. A consistent automated reviewer that examines every diff against the same checklist does not get distracted, does not skip the boring files, and does not have an off day. It will not catch everything, but it catches the recurring categories of mistake that pile up in fast-moving teams.
H3: What an AI Code Review Pipeline Actually Does
The flow is the same whether you use the official Anthropic action or a custom script. A pull request is opened or updated, which fires a pull request event. The GitHub Actions runner checks out the code, fetches the diff of what changed, and sends that diff to Claude Sonnet with a prompt describing what to look for. Claude returns structured findings, the workflow converts them into review comments, and they land inline on the exact lines where the issues were found. Crucially, the findings are tagged by severity and posted as comments, so they inform the review without automatically approving or blocking the PR. Your existing review workflow stays intact.
H4: What Claude Sonnet Looks For in an Odoo Diff
A well-prompted review covers several axes at once. It flags logic errors and regressions like missing returns, null dereferences, and off-by-one mistakes. It checks error handling for swallowed exceptions and overly broad catches. It looks for security vulnerabilities, ideally aligned to a recognised standard such as OWASP. And with the right context, it can reason about Odoo-specific concerns: whether a new field has appropriate access rules, whether an XML view inheritance uses a stable xpath, and whether a model override calls super correctly so it does not break other modules in the chain.
H5: What Claude Sonnet Looks For in an Odoo Diff
The pipeline is an assistant, not a replacement. It helps humans review faster, catch common risks earlier, and keep the workflow practical, but the human in the loop still owns the decision to merge. The AI is excellent at the consistent, mechanical, easy-to-forget checks. People remain better at judging whether a change actually solves the business problem, whether the approach fits the architecture, and whether the trade-offs are acceptable. This division of labour is the same principle I covered when looking at whether a non-developer can build Odoo modules with Claude Code: the AI raises the floor, but a person still owns the ceiling.
H6: Reviewer Fatigue and the Hidden Cost of Missed Bugs
You need an Anthropic API key, a GitHub repository with pull request workflows enabled, and admin rights to add secrets. Store the key as a repository or, better, an organisation-level secret named ANTHROPIC_API_KEY. Never hardcode it, never log it, and never pass it as a workflow input that could appear in logs.
What Claude Sonnet Looks For in an Odoo Diff
A well-prompted review covers several axes at once. It flags logic errors and regressions like missing returns, null dereferences, and off-by-one mistakes. It checks error handling for swallowed exceptions and overly broad catches. It looks for security vulnerabilities, ideally aligned to a recognised standard such as OWASP. And with the right context, it can reason about Odoo-specific concerns: whether a new field has appropriate access rules, whether an XML view inheritance uses a stable xpath, and whether a model override calls super correctly so it does not break other modules in the chain.
Conclusion
An AI code review pipeline does not make your developers redundant. It makes their review time count for more by handling the consistent, mechanical checks that fatigue erodes, leaving people free to focus on architecture and business fit. For an Odoo codebase, where a single PR can span Python, XML, and security rules, that consistency is worth a great deal. Start with the official action and a simple workflow, treat every diff and every model response as untrusted, teach Claude your standards through a CLAUDE.md file, and tune the severity threshold so the findings stay high signal. Done well, every PR arrives at the merge gate already audited, and the bugs that used to surface in production get caught while they are still cheap to fix.
Frequently Asked Questions
Does the AI pipeline automatically block or merge pull requests?
No, and that is by design. Findings are posted as inline comments tagged by severity, so they inform the human reviewer without approving or blocking the PR. Your existing merge gate and review workflow stay exactly as they are.
Will Claude Sonnet understand Odoo-specific patterns like view inheritance?
It understands them well when you give it context. A CLAUDE.md context file describing your module structure and standards, plus a prompt that names Odoo concerns like ir.model.access and XML inheritance, produces far more relevant findings than a generic review.
How do I keep my API key and repository secure in CI?
Store the key as a repository or organisation secret, apply least privilege permissions to the workflow, and rely on the default behaviour that fork pull requests cannot access secrets. Treat the diff and the model output as untrusted and validate before posting.
Does this replace human code reviewers?
No. It is an assistant that catches common, repetitive risks early so human reviewers can focus on judgment calls about architecture and business value. The human in the loop still owns every merge decision.
URL Slug Variants
- ai-code-review-pipeline-claude-sonnet-odoo-pr
- claude-sonnet-odoo-pr-review-pipeline
- automate-odoo-code-review-claude-github-actions
Project Workspace Overview
Overview
When you click a project from the left sidebar, Odoo Pilot opens the project workspace. This is the main working area where you can start new chats, select a mode, manage project tasks, add project instructions, invite team members, connect GitHub and connect a live Odoo database.

Each project has its own workspace, chats, instructions, team members, GitHub connection, and Odoo database connection.
Project Header
At the top of the workspace, you can see the project name, project owner, and last updated date.
This helps users confirm they are working inside the correct client or project workspace before starting a new task.
Left Sidebar
The left sidebar is used for navigation.

Users can:
- Create a new project
- Search across projects and chats
- Open an existing project
- Start a new chat inside the selected project
- Open previous chats or tasks related to that project
- Access account settings and support options
When a project is selected, the related chats and tasks appear under that project in the sidebar.
Start a New Chat
The main chat box allows users to start a new task inside the selected project.
Users can:
- Type a new requirement
- Upload files using the plus button
- Use voice input where supported
- Send the prompt
- Select the required mode before sending
Mode Selection
Below the chat box, users can select the required Odoo Pilot mode.
Available modes include:
- Pre-Sales
- Implementation
- Module Builder
- Website Builder
- Pilot Studio
- Ask Odoo
Important: Implementation Mode and Pilot Studio require a live Odoo database connection before they can execute work inside Odoo.
Right-Side Project Panel
The right-side panel contains project-level tools. These settings and files apply to the selected project only.

The main cards are:
- Instructions
- Project Team
- GitHub
- Connect Odoo / Update Project
Instructions
The Instructions section allows users to add project-specific instructions for Odoo Pilot.
These instructions are applied across all chats inside that project.
Users can add instructions such as:
- Always explain changes in simple business language.
- Follow Odoo best practices.
- Do not create duplicate records.
- Always ask before making changes in the live database.
- Maintain a professional tone for client-facing outputs.
This is useful when a project has specific rules, client preferences, coding standards, or implementation guidelines.
How to Add Project Instructions
- Click Add in the Instructions card.
- Enter the project instructions.
- Click Save.
Project Team
The Project Team section allows the project owner to manage users who have access to that specific project.
Users can:
- View current project members
- Invite a new team member by email
- Assign a role to the invited member
- See member status
- Remove an existing member from the project
This is useful when a project is shared between a project manager, business analyst, functional consultant, developer, or client-side team member.
Inviting a Team Member
To invite a user:
- Click View Details in the Project Team card.
- Click the invite option.
- Enter the team member’s email address.
- Select the correct role.
- Click Send Invite.
The invited user will receive an email with a secure invitation link when email delivery is configured.
Removing a Team Member
Existing project members can be removed from the Project Team screen by using the delete/remove option next to the member.
GitHub
The GitHub section allows users to connect a GitHub repository to the selected project.
This is mainly useful for:
- Module Builder
- Website Builder
- Custom Odoo modules
- Connector development
- Website module code
- Version control
- Pulling and pushing generated code
Users can link an existing repository or create a new repository for the project, depending on the available options.
GitHub Connection Flow
To use GitHub in a project:
- Connect GitHub from account settings if it is not already connected.
- Open the project workspace.
- Click Connect in the GitHub card.
- Link an existing repository or create a new one.
- Use the GitHub option in the code view to pull and push work.
Important: The GitHub repository is connected to the selected project only. Different projects can use different repositories.
Connect Odoo / Update Project
The Connect Odoo section is used to connect the selected project with a live Odoo database.
This connection is compulsory for:
- Implementation Mode
- Pilot Studio / Direct Mode
Without an Odoo connection, these modes cannot be accessible.
What the Odoo Connection Is Used For
The live Odoo connection allows Odoo Pilot to:
- Verify Odoo apps, models, and fields
- Check existing records
- Create or update approved records
- Execute implementation tasks
- Apply controlled customization
- Track execution results
- Show footprints
- Support rollback where available
How to Connect Odoo
- Click Update Project in the Connect Odoo card.
- Add or update the Odoo connection details.
- Enter the Odoo URL, database name, username, and required credentials.
- Test or verify the connection.
- Save the project.

After the Odoo database is connected, Implementation Mode and Pilot Studio can be used for supported execution tasks.
Best Practice
Use a staging or test Odoo database first before connecting a production database. For live production databases, review every task carefully before execution.
Creating Your First Project
Step 1: Create your account
Open Odoo Pilot and create an account using one of the available sign-in options:

- Email and password
Complete email verification if required.
Step 2: Review your plan and credits
After signing in, open the usage or account area to check:
- Current plan
- Available credits
- Usage history
- Upgrade options
- Billing information
Before running larger tasks, confirm that enough credits are available.
Step 3: Create a new project
Click New Project from the left sidebar or front of your screen.

Enter a clear project name, for example:
- Client CRM Implementation
- Odoo Sales Customization
- Product Import Testing
- Website Builder Demo
- ShipStation Connector Module
Step 4: Choose Odoo connection option
During project creation, select one of the available options:
- Skip Odoo Connection

If connecting an Odoo database, provide:
- Deployment type
- Odoo URL
- Database name
- Username
- Password or access credential where supported
Click Verify to test the connection, then save the project.
Step 5: Start working
Open the project, select a mode, write the requirement, upload any required files, and send the prompt.
Using Project Chats
Each chat belongs to a project and should be used for a specific task or topic. For example, one project can have separate chats for CRM setup, product import, website changes, and custom module generation.
Starting a New Chat
To start a new chat:
- Open the required project.
- Click New Chat.
- Select the correct mode.
- Type the requirement.
- Attach any required file.
- Click send.
Writing a Good Requirement
A good prompt should include:
- Odoo version
- App/module name
- Business requirement
- Required fields or records
- Expected result
- Whether to create or update
- Where the result should appear in Odoo
- Any screenshots, files, or examples
Understanding Responses
Odoo Pilot responses may include:
- Requirement summary
- Planned steps
- Questions or missing details
- Generated task list
- Code preview
- Import template
- Mockup preview
- Execution result
- Footprints
- Next-step instructions
Stopping a Running Request
If a response is taking too long or the request was sent by mistake, use the stop or cancel button while the task is running. After stopping, edit the prompt and send a corrected request.
Managing Chats
From the chat menu, users may be able to:
- Rename a chat
- Delete a chat
- Reopen a previous chat
- Continue earlier work
H1: AI Code Review for Odoo: Auto-Audit Every PR with Claude
Every pull request that lands in your Odoo repository is a small bet. Most of the time it pays off, but the one PR that slips a broken access rule or a silent ORM override past review is the one that surfaces three weeks later as a production incident. Human reviewers are good, but they get tired, they skim under deadline pressure, and security checks are the first thing dropped when a release is due. An AI code review pipeline closes that gap by putting a consistent reviewer on every single diff, and it is one of the highest leverage changes I recommend during an Odoo ERP implementation for SMEs where the team is small and review capacity is the bottleneck.
H2: Why Odoo Codebases Need a Review Gate More Than Most
That breadth is exactly what makes manual review hard. A reviewer who is strong on Python may not catch a subtle access rights regression, and the person who understands the security model may not be in the room that day. A consistent automated reviewer that examines every diff against the same checklist does not get distracted, does not skip the boring files, and does not have an off day. It will not catch everything, but it catches the recurring categories of mistake that pile up in fast-moving teams.
H3: What an AI Code Review Pipeline Actually Does
The flow is the same whether you use the official Anthropic action or a custom script. A pull request is opened or updated, which fires a pull request event. The GitHub Actions runner checks out the code, fetches the diff of what changed, and sends that diff to Claude Sonnet with a prompt describing what to look for. Claude returns structured findings, the workflow converts them into review comments, and they land inline on the exact lines where the issues were found. Crucially, the findings are tagged by severity and posted as comments, so they inform the review without automatically approving or blocking the PR. Your existing review workflow stays intact.
H4: What Claude Sonnet Looks For in an Odoo Diff
A well-prompted review covers several axes at once. It flags logic errors and regressions like missing returns, null dereferences, and off-by-one mistakes. It checks error handling for swallowed exceptions and overly broad catches. It looks for security vulnerabilities, ideally aligned to a recognised standard such as OWASP. And with the right context, it can reason about Odoo-specific concerns: whether a new field has appropriate access rules, whether an XML view inheritance uses a stable xpath, and whether a model override calls super correctly so it does not break other modules in the chain.
H5: What Claude Sonnet Looks For in an Odoo Diff
The pipeline is an assistant, not a replacement. It helps humans review faster, catch common risks earlier, and keep the workflow practical, but the human in the loop still owns the decision to merge. The AI is excellent at the consistent, mechanical, easy-to-forget checks. People remain better at judging whether a change actually solves the business problem, whether the approach fits the architecture, and whether the trade-offs are acceptable. This division of labour is the same principle I covered when looking at whether a non-developer can build Odoo modules with Claude Code: the AI raises the floor, but a person still owns the ceiling.
H6: Reviewer Fatigue and the Hidden Cost of Missed Bugs
You need an Anthropic API key, a GitHub repository with pull request workflows enabled, and admin rights to add secrets. Store the key as a repository or, better, an organisation-level secret named ANTHROPIC_API_KEY. Never hardcode it, never log it, and never pass it as a workflow input that could appear in logs.
What Claude Sonnet Looks For in an Odoo Diff
A well-prompted review covers several axes at once. It flags logic errors and regressions like missing returns, null dereferences, and off-by-one mistakes. It checks error handling for swallowed exceptions and overly broad catches. It looks for security vulnerabilities, ideally aligned to a recognised standard such as OWASP. And with the right context, it can reason about Odoo-specific concerns: whether a new field has appropriate access rules, whether an XML view inheritance uses a stable xpath, and whether a model override calls super correctly so it does not break other modules in the chain.
Conclusion
An AI code review pipeline does not make your developers redundant. It makes their review time count for more by handling the consistent, mechanical checks that fatigue erodes, leaving people free to focus on architecture and business fit. For an Odoo codebase, where a single PR can span Python, XML, and security rules, that consistency is worth a great deal. Start with the official action and a simple workflow, treat every diff and every model response as untrusted, teach Claude your standards through a CLAUDE.md file, and tune the severity threshold so the findings stay high signal. Done well, every PR arrives at the merge gate already audited, and the bugs that used to surface in production get caught while they are still cheap to fix.
Frequently Asked Questions
Does the AI pipeline automatically block or merge pull requests?
No, and that is by design. Findings are posted as inline comments tagged by severity, so they inform the human reviewer without approving or blocking the PR. Your existing merge gate and review workflow stay exactly as they are.
Will Claude Sonnet understand Odoo-specific patterns like view inheritance?
It understands them well when you give it context. A CLAUDE.md context file describing your module structure and standards, plus a prompt that names Odoo concerns like ir.model.access and XML inheritance, produces far more relevant findings than a generic review.
How do I keep my API key and repository secure in CI?
Store the key as a repository or organisation secret, apply least privilege permissions to the workflow, and rely on the default behaviour that fork pull requests cannot access secrets. Treat the diff and the model output as untrusted and validate before posting.
Does this replace human code reviewers?
No. It is an assistant that catches common, repetitive risks early so human reviewers can focus on judgment calls about architecture and business value. The human in the loop still owns every merge decision.
URL Slug Variants
- ai-code-review-pipeline-claude-sonnet-odoo-pr
- claude-sonnet-odoo-pr-review-pipeline
- automate-odoo-code-review-claude-github-actions
Pre-Sales Mode
Overview
Pre-Sales Mode is used before implementation starts. It helps teams understand client requirements, prepare scope, estimate effort, define timelines, identify risks, and create mockups for client discussions.

Main Options
Pre-Sales Mode includes two main workflows:
- Estimation
- Mockup
Estimation
Estimation converts client requirements into a structured proposal-style output.
It may include:
- Business requirement summary
- Required Odoo apps
- Gap analysis
- Scope of work
- Configuration requirements
- Custom development areas
- Integrations
- Reports and dashboards
- Assumptions
- Risks
- Estimated timeline
- Estimated effort
- Pricing guidance
- Suggested implementation phases
- Client questions
- Proposal-ready output
Estimation Settings
When the user selects Generate as: Estimate, Odoo Pilot may show an optional Estimation setting.

This setting helps Odoo Pilot prepare the estimate using proposal type, hourly rate, client budget, expected timeline, and currency.
Odoo Pilot allows users to choose whether the estimate should be prepared for an Agency or a Freelancer.
Agency
Use this when the estimate is prepared from a company, agency, or team perspective.
Freelancer
Use this when the estimate is prepared from an individual consultant or developer perspective.
This helps Odoo Pilot adjust the estimation tone and pricing logic according to the proposal audience.
Pre-Sales Report
After generating an estimate, Odoo Pilot may show a View report button.
When the user clicks View report, the Pre-Sales report panel opens. This panel shows the generated estimate in a structured proposal-style format.

Users can review the report before sharing it with a client.
Download Report
The Pre-Sales report may support download options such as:
- Word
Mockup
Mockup helps users create a visual preview of a client requirement.
It may include:
- Screen layout preview
- Dashboard concept
- Form or list view idea
- User flow explanation
- Suggested buttons and actions
- Client-facing visual concept
Mockup Storyboard
After generating a mockup, Odoo Pilot may show a View storyboard button.
When the user clicks View storyboard, the Pre-Sales mockups panel opens. This panel shows the generated visual concept or storyboard for the requested Odoo screen or workflow.

The mockup storyboard may include a Download PDF option.
Users can download the mockup as a PDF and share it with the client before implementation starts.

When to Use Pre-Sales Mode
Use this mode when:
- A client shares a new requirement
- You need an estimate
- You need a gap analysis
- You want to explain scope
- You need a proposal
- You need timeline and pricing guidance
- You want to show a visual concept before development
Best Practices
Use Pre-Sales Mode with a clear and complete requirement so Odoo Pilot can generate a better estimate or mockup in fewer attempts.
- Providing complete details helps Odoo Pilot avoid repeated missing requirements and unnecessary regeneration
- For better estimation, fill the optional estimation settings such as proposal type, hourly rate, client budget, timeline, and currency where available.
- For better mockups, explain the requirements, fields, buttons, user flow and layout expectation.
A short or unclear prompt may still work, but it can produce a general estimate or basic mockup.
Implementation Mode
Overview
Implementation Mode is used for functional Odoo setup, guided configuration, data import, task planning, and controlled execution in a connected Odoo database.
This mode is best for standard Odoo implementation work such as creating master data, setting up workflows, preparing import templates, validating files, and executing approved configuration steps.
Implementation Mode is needed to connect to the Odoo database in the project; otherwise, Odoo Pilot will not allow the use of this mode.
When to Use Implementation Mode
Use Implementation Mode when the task is related to standard Odoo setup or implementation.
Common examples include:
Setting up CRM stages, tags, leads, and opportunities
Creating customers, vendors, and contacts
Creating products, product variants, categories, and pricelists
Setting up warehouses, locations, operation types, and routes
Preparing sales, purchase, inventory, or accounting demo flows
Generating CSV or Excel import templates
What Implementation Mode Can Do
Implementation Mode can help with:
- Installing or checking standard Odoo apps where supported
- Creating implementation task plans
- Setting up master data
- Creating customers, vendors, products, warehouses, pricelists, and other records
- Generating CSV or Excel import templates
- Validating uploaded import files
- Importing approved data into Odoo
- Configuring workflows
- Avoiding duplicate records where possible
- Tracking task status
- Showing execution footprints
- Asking for missing information before continuing
- Retrying or reimplementing failed tasks
- Supporting rollback where available
- Allowing the user to mark tasks as reviewed after verification
Task Planning
When a requirement is submitted, Odoo Pilot may split it into tasks and subtasks.
Tasks may include:
- Required apps
- Required configuration
- Master data creation
- Import steps
- Record creation or update
- Validation checks
- Missing information
- Failed or pending actions
- User review steps
Missing Information Handling
If required information is missing or unclear, Odoo Pilot asks for the missing details before continuing.
Missing information may include:
accounting_localization_and_tax_policy
posting_policy
online_payment_provider
delivery_pricing_policy
salary_amounts
commission_overtime_allowance_policy
- payroll_accounting_policy
In some cases, Odoo Pilot may show an Add required/missing information popup in Re-implement button before allowing the user to proceed.
Safe Execution
Before changing records, Odoo Pilot perform checks such as:
These checks may include:
- Confirming the required Odoo app is available
- Confirming the required model exists
- Confirming required fields are available
- Searching for existing records to avoid duplicates
- Validating required values
- Checking dependencies between tasks
- Checking whether the connected user has permission
- Showing skipped, failed, or blocked steps
- Recording the result in execution footprints
- Allowing retry, reimplement, or continuation where possible
Task Panel and Execution Controls
Overview
This section explains common task actions in Implementation Mode, such as creating tasks, editing tasks, adding follow-up work, reviewing footprints, using rollback, and understanding how approval and execution work.
How to Create a Task
Users can create a task in Implementation Mode in two ways.
First, Odoo Pilot may automatically create tasks after the user submits an implementation requirement. These tasks are generated from the original prompt and may include app checks, configuration steps, master data creation, imports, validations, and review steps. In Implementation Mode, Odoo Pilot may create a task panel on the right side of the workspace. This panel helps users track the implementation flow, review task status, open execution details and add follow-up tasks.

The task panel may show:
Total number of tasks
Completed tasks
Failed tasks
Pending tasks
Subtasks
Task preview
Proceed action
Add Task option
Users can click View Tasks to open the implementation task panel when it is hidden.
Second, users can manually create a task by clicking Add Task from the task panel.
This is useful when the user wants to extend the implementation flow after the original task plan was generated or add a follow-up task for missing, failed, or additional work.
When the user clicks Add Task, Odoo Pilot opens the Add implementation task popup.

Users can add:
- Title
A short name for the task. - Instructions
The full requirement or action that Odoo Pilot should perform. - Spreadsheet attachment
Users can attach one CSV or XLSX file. - Dependencies
Users can select prerequisite tasks that should be completed before this new task runs. This is useful when the new task depends on earlier setup, such as apps installation, customer creation, product creation, or sales order confirmation. - Required inputs
Users can list missing information needed for the task. Each missing item should be added on a separate line.
For example, users may add a task to:
- Create additional records
- Fix missing configuration
- Add another import step
- Verify existing records
- Continue a failed process
- Add a follow-up implementation requirement
- Run a task only after selected prerequisite tasks are completed
The Add task button becomes available after the required task details are entered.
Added tasks should be clear and specific so Odoo Pilot can execute or guide them correctly. If the task depends on earlier work, users should select the correct dependency from the prerequisite task list.
How to Edit a Task
A task should be reviewed before execution. If a task needs correction, the user can update the instruction where the interface allows editing.
This keeps the original task history clear and creates a proper follow-up record.
How to Add Subtasks
Odoo Pilot may create subtasks automatically when a task needs follow-up work, missing information, or reimplementation.
Users can also add a new related task through Add Task and select prerequisite tasks in the Dependencies field. This helps Odoo Pilot understand which earlier task must be completed before the new task runs.
Subtasks or follow-up tasks are useful when:
- A task failed
- A step was skipped
- Extra data needs to be imported
- A previous task needs verification
- A correction is required after execution
What Execution Footprints Are
The Footprints panel shows a broader execution history for the current task or chat.

It may include tabs such as:
All
Success
Failed
Rollback
They may show:
- Odoo model used
- Action type such as search, create, update, or read
- Success or failure status
- Database name
- What happened during the step
- Technical response where available
- Rollback availability where supported
Footprints help users audit the work performed by Odoo Pilot and verify whether the task actually touched the expected Odoo records.
Footprints can be opened from the Execution log button or Footprints button in the top bar or from execution-related task actions.
What Rollback Means
The Rollback button is used when Odoo Pilot can reverse a supported execution step.
Which Actions Support Rollback
Rollback may be available when Odoo Pilot incorrectly creates or updates records in a way that can safely be undone.
Rollback is useful when:
Wrong records were created
A task was executed with incorrect details
The user wants to undo a recent supported change
A test execution needs to be reverted
Rollback is not always available. Some actions, such as read-only searches, verification steps, already-existing records, or complex business flows, may not support rollback.
If rollback is not available, Odoo Pilot clearly shows that the step cannot be rolled back.
How Users Can Perform a Rollback
To perform a rollback:
- Open the task result.
- Click Execution log or open Footprints.
- Check whether rollback is available for the step.
- Click Rollback button where available.
- Review the result after rollback.
- Verify the record inside Odoo.
Users should only use rollback when they are sure the executed change should be undone.
How Task Approval and Execution Work
Implementation Mode usually follows a controlled execution flow.
First, Odoo Pilot prepares the task plan. The user reviews the tasks and confirms whether the plan is correct. After that, the user can proceed with execution.
During execution, Odoo Pilot checks apps, fields, records, dependencies, and required information. If something is missing, it may ask for more details before continuing.
After execution, the user should review the task summary, execution log, and footprints. The task should only be marked as reviewed after the user verifies the result inside Odoo.
What Re-Implement Means and When to Use It
The Re-implement button is used when a task needs to be run again with corrected details, missing information, or a new follow-up instruction.
It does not always mean starting from zero. It may create a follow-up subtask to complete only the missing, skipped, failed, or corrected part of the original task.
When users click Re-implement, Odoo Pilot may show a popup where they can add:

Optional notes
Supporting details
Corrections
Clarifications
Uploaded files such as CSV, Excel, documents, or screenshots
After the user clicks Create and run, Odoo Pilot creates a reimplementation subtask and attempts the task again using the updated information.
Use Re-implement when:
A task failed
Required information was missing
A task was partially completed
Odoo Pilot skipped something important
The result exists but needs correction
Before reimplementing, users should check the task result, execution log, and footprints to understand what was already created or updated in Odoo.
How Users Provide Master Data Files for Import
Users can provide master data files by uploading a CSV file in Implementation Mode.
Users can upload files in two common ways:
From the chat input
Use this when the file is related to the current prompt or task.From Add Task or Re-implement popup
Use this when the file belongs to a specific implementation task, follow-up task, or import correction.
Before importing, Odoo Pilot should inspect the file, check the headers, validate required fields, detect missing values, and confirm whether the file is ready for Odoo import.
If the file has issues, Odoo Pilot should explain what needs to be fixed before execution.
Users should make sure the file has clean column names, correct data format, no duplicate rows, and Odoo-compatible values before asking Odoo Pilot to import it.
Data Import Workflow
A typical import flow:
- User uploads the file in the same task.
- Odoo Pilot validates the file.
- Odoo Pilot imports the data if validation passes.
- User verifies the records inside Odoo.
- User marks the task as reviewed only after verification.
This workflow is useful for importing products, contacts, vendors, customers, pricelists, inventory data, and other master data.
Marking Tasks as Reviewed
A task should be marked as reviewed only after the user verifies the result inside Odoo.
Before marking a task as reviewed, check:
The expected records exist in Odoo
The correct values were created or updated
No duplicate records were created
The workflow works as expected
Failed steps are either fixed or accepted
Footprints match the actual result
If the task says completed but the record is not visible in Odoo, do not mark it as reviewed until the issue is checked.
Best Practices
Use Implementation Mode with a clear and complete requirement so Odoo Pilot can prepare better tasks, avoid unnecessary follow-up questions, and reduce repeated execution.
- Providing complete details helps Odoo Pilot understand the requirement in the first attempt. This can reduce credit usage because fewer follow-up prompts, retries, reimplementations, and corrections are needed.
- A short or unclear prompt may still work, but it can create general tasks, ask for missing information, or require multiple follow-up runs.
- A complete prompt saves time, improves accuracy, and helps avoid wasted credits.
This helps avoid duplicate records, incomplete implementation, and unnecessary repeated execution.
Pilot Studio
Overview
Pilot Studio, is used for controlled Odoo-side customization inside a connected database. It is different from Implementation Mode because it focuses on technical changes such as fields, views, menus, actions, and automation.
Pilot Studio is needed to connect to the Odoo database in the project; otherwise, Odoo Pilot will not allow the use of this mode.

Use this mode carefully, preferably first on a demo or staging database.
What Pilot Studio Can Customize
Pilot Studio may support:
- Creating custom fields
- Creating custom workflow where needed
- Adding fields to forms, lists, kanban views, or search views
- Updating labels and placeholders
- Adding tabs, groups, and sections
- Creating menus and window actions
- Creating filters and search options
- Creating automated actions
- Creating server actions
- Creating scheduled actions
- Updating email templates where supported
- Adding workflow automation
- Adjusting technical settings where safe
Safety Rules
Pilot Studio should not silently change unrelated records, models, or views.
Before execution, the user should clearly define:
- Target app
- Target model
- Field name
- Field type
- View location
- Menu or action name
- Automation trigger
- Condition
- Expected result
- Whether this is a new change or an update to an existing customization
If the target is unclear, Odoo Pilot should ask for clarification instead of guessing.
Approval Before Execution
Pilot Studio follows a controlled execution flow. Before applying technical changes inside Odoo, Odoo Pilot may first inspect the target model, existing fields, views, menus, actions, or automation records.
After inspection, Odoo Pilot may show a short execution plan and ask the user to confirm before applying the change.
For example, Odoo Pilot may say:
Reply with “proceed” and I’ll apply it live.
This approval step is important because Pilot Studio can make direct Odoo-side changes such as creating fields, updating views, creating filters, or adding server actions.
Users should review the plan carefully before typing proceed.
What View Execution Footprint shows
The View execution footprint button shows the technical record of what Odoo Pilot did during execution.

It helps users confirm whether the requested change was actually applied in the connected Odoo database.
A footprint may show:
- Total execution steps
- Successful steps
- Failed steps
- Rollback availability
- Target model
- Action type, such as search, create, update, or read
- Created or updated records
- Error details where available
- Database name
- Technical response where available
Users may see footprints directly from the response using View execution footprint, or from the top Footprints button.
Why Execution Footprints Are Important
Execution footprints are important because Pilot Studio performs technical customization inside Odoo.
They help users verify:
- Which Odoo model was used
- Whether the field, view, menu, filter, or action was created
- Whether existing records were reused
- Whether any step failed
- Whether rollback is available
- Whether the customization was applied to the correct database
Users should check footprints after execution, especially when changing fields, views, filters, server actions, or automated actions.
What Rollback in Pilot Studio
Rollback means undoing a supported execution step.
In Pilot Studio, rollback may be available for some created or updated records where Odoo Pilot can safely reverse the change.
How Pilot Studio Execution Works
Pilot Studio execution usually follows this flow:
- User submits a customization requirement.
- Odoo Pilot inspects the target model, fields, views, and related technical records.
- Odoo Pilot prepares a short plan.
- User reviews the plan and confirms by typing proceed.
- Odoo Pilot applies the approved change.
- Odoo Pilot shows execution result and footprints.
- User verifies the result inside Odoo.
This flow helps avoid accidental changes and gives the user control before live execution.
How can users verify Pilot Studio changes
Users should verify results directly inside Odoo from the related app, form view, list view, search filter, menu, or technical settings area.
Best Practices
Use Pilot Studio with a clear and complete customization requirement so Odoo Pilot can inspect the correct model, prepare the right execution plan, and avoid unnecessary retries.
A good Pilot Studio prompt should include:
- Target Odoo app
- Target model, such as Sales Order, CRM Lead, Product, or Contact
- Field name
- Field type, such as text, selection, date, boolean, monetary, or many2one
- Field values if it is a selection field
- Exact form/list/search view location
- Whether the field should appear in form view, list view, kanban view, or search view
- Any required button, menu, filter, or automation
- Trigger and condition if automation is needed
- Expected result after execution
- Whether Odoo Pilot should create a new customization or update an existing one
- Duplicate prevention rule
Providing complete details helps Odoo Pilot avoid guessing the wrong model, creating duplicate fields, placing fields in the wrong view, or asking repeated follow-up questions. This can reduce credit utilization on complete and accurate requirements at once.
A short prompt may work for simple changes, but for technical customization, a detailed prompt is better for accuracy, safety, and saving credits.
Module Builder Mode
Overview
Module Builder Mode is used to create, improve, or debug Odoo modules, apps, connectors, and technical customizations. Use this mode when the output should be proper Odoo code instead of direct database changes.

What Module Builder Can Do
Module Builder can help with:
- Creating a full Odoo module from scratch
- Building custom Odoo apps
- Creating API connectors
- Debugging uploaded ZIP modules
- Fixing installation errors
- Fixing XML, security, manifest, controller, or dependency issues
- Generating models, fields, views, menus, and actions
- Creating wizards and transient models
- Creating controllers and portal pages
- Creating QWeb/PDF reports
- Creating scheduled actions
- Creating dashboards and backend menus
- Preparing downloadable ZIP files
- Preparing GitHub-ready code
Working from a New Requirement
A generated module may include:
- __manifest__.py
- __init__.py
- Python models
- XML views
- Menu items
- Security access files
- Record rules
- Wizards
- Controllers
- Reports
- Data files
- Demo data
- Static assets
- Scheduled actions
- Configuration settings
- README or app description
Working from Existing Code
When a user uploads an existing module ZIP, Odoo Pilot can:
- Read module structure
- Check manifest dependencies
- Review models, views, security, controllers, and assets
- Find missing files or incorrect imports
- Detect XML ID errors
- Detect access rights issues
- Suggest fixes
- Apply improvements where supported
- Generate an updated ZIP
How do users preview generated module code
After Module Builder generates or updates module code, Odoo Pilot may show an Open Preview button.
When the user clicks Open Preview, the Code Preview panel opens. This panel shows the generated module files in a project tree and code editor.

Users can open each file to review the generated code before downloading or pushing it to GitHub.
The Code Preview helps users review the module structure, files, dependencies, and generated code before download or GitHub push.
Download and Code Options
Users can open the Code Preview options and select Download ZIP. This downloads the complete module package.

Inside the Code Preview, users may see additional options such as:
- Download ZIP
- Download current file
- Git history
GitHub Sync in Module Builder
Module Builder can work with a linked GitHub repository when GitHub is connected.
The GitHub sync option allows users to pull the latest code from GitHub or push generated/editor changes back to the repository.

The GitHub sync popup may show:
- Connected repository name
- Active branch
- Last pull/sync time
- Change repository option
- Pull changes
- Push changes
- New repository option
- Create branch option
Best Practices
Use Module Builder Mode with a complete technical requirement so Odoo Pilot can generate better module structure, reduce missing files, and avoid repeated regeneration. This can reduce credit utilization on complete and accurate requirements at once.
A short prompt can work for simple modules, but for real Odoo development, a detailed technical prompt is better for accuracy, safety, and saving credits.
Website Builder Mode
Overview
Website Builder Mode is used to create Odoo website pages, landing pages, reusable snippets, frontend sections, and website module assets.
It can work from prompts, screenshots, Figma designs, local website files, or design references. 
What output can be created
Website Builder may generate:
- Complete website pages
- Reusable Odoo snippets
- Website XML templates
- CSS/SCSS files
- JavaScript assets
- Website module ZIP files
Working from a Prompt
A good website prompt should include:
- Page name
- Business type
- Target audience
- Required sections
- Brand colors
- Content style
- CTA buttons
- Images or design references
- Layout preference
- Odoo version
- Whether output should be preview-only or module-ready
Expected User Action
If more Figma usage is required, the user should upgrade to a higher plan such as the Pro plan.
Figma Integration in Website Builder
Website Builder can use Figma designs to generate Odoo-compatible website pages, sections, snippets, and module assets.

Users can attach Figma in two ways:
- Add from Figma
- Connect Figma from Account Settings → Connectors
How to Connect Figma
To use Figma with Website Builder:

- Open Account Settings.
- Go to Connectors.
- Find Figma.
- Click Connect.
- Complete the Figma connection process.
- Return to Website Builder Mode and attach the Figma design or frame.
After Figma is connected, users can provide a Figma design URL or select a frame where available.
Using Figma in Website Builder
To generate a website from Figma:
- Open Website Builder Mode.
- Click the attachment/add option.
- Select Add from Figma.
- Paste the Figma design or frame URL.
- Click Load or Sync latest.
- Select the correct frame if multiple frames are available.
- Ask Odoo Pilot to generate the Odoo website output.
- Review the generated preview and files.
The generated output may include website pages, snippets, XML templates, CSS/SCSS, JavaScript files, images, and module files.
Figma Load and Sync Options

The Figma popup may include:
- Load
Loads the provided Figma URL or available saved Figma structure. - Sync latest
Attempts to fetch the latest Figma design data.
If the latest sync is unavailable, Odoo Pilot may continue using the most recently imported Figma structure where available.
Figma Limitations
Figma usage may be limited based on the user’s plan or Figma API limits.
Users may face issues such as:
- Figma rate limit reached
- Figma URL not loading
- Wrong frame selected
- Figma file permission issue
- Make sure the connected Figma account has view access
- Design not fully converted into Odoo layout
- Missing assets or images
- Large Figma files taking longer to process
Free or limited plans may hit Figma usage limits faster. If more Figma usage is required, users may need to upgrade to a higher plan.
If Figma rate limit reached appears, users should wait and retry later, use the last loaded design structure if available, or upgrade the plan if more Figma usage is needed.
Local Files and Design References
Users can also use Add from Local files to upload screenshots, images, documents, or local design references.
This is useful when:
- The Figma file is not available
- The user has screenshots only
- The design is saved as image files
- The user wants Odoo Pilot to follow an existing page layout
- The task needs additional branding or content references
Uploaded files should be clear and related to the current website task.
Website Code Preview
After Website Builder generates website files, Odoo Pilot may show an Open Preview button.
When users click Open Preview, the Code Preview panel opens with a project tree and code editor.

The preview may include:
- Controllers
- Models
- Security files
- Website page XML
- Snippet templates
- Static files
- CSS/SCSS
- JavaScript assets
- Images
- Module manifest files
Users can review the generated website files before downloading, installing, or pushing them to GitHub.
Download and Code Options
Inside Code Preview, users may see options such as:
- Download ZIP
- Download current file
- Git history
GitHub Sync in Website Builder
Website Builder can work with GitHub when a repository is linked.

The GitHub sync option may allow users to:
- Pull latest code from the linked repository
- Push generated website files to GitHub
- Change repository
- Create a new repository
- Create a new branch
Users should pull the latest code before editing or regenerating website files. After reviewing the generated code, users can push the updated files to GitHub.
For larger website changes, creating a separate branch is recommended.
Where to Verify Results
- Website Pages: Website → Site → Pages
- Website Editor: Open Website → Edit
- Snippets: Website editor snippet panel
- Menus: Website → Site → Menu Editor
- Products: Website/eCommerce product pages where applicable
- Installed module: Apps menu if exported as a module
Best Practices
Use Website Builder Mode with a complete website requirement so Odoo Pilot can generate better pages, snippets, and module files in fewer attempts.
Providing complete details helps Odoo Pilot avoid generic layouts, missing sections, wrong styling, and repeated regeneration. This can reduce credit utilization on complete and accurate requirements at once.
When using Figma, users should connect the correct Figma account, provide the correct frame URL, select the right frame, and avoid repeated sync attempts if the rate limit appears.
A short prompt can work for simple pages, but for professional website work, a clear prompt with design references gives better results and helps save credits.
Odoo Ask Mode
Overview
It is used for Odoo-specific questions, guidance, explanations, troubleshooting, and best-practice suggestions. This mode is focused only on Odoo-related topics.
It is useful when the user wants to understand how something works in Odoo, where to find a feature, how to solve an Odoo issue, or what approach should be used for a functional or technical requirement.
Odoo Ask Mode does not mainly perform execution, module generation, website generation, or database customization. It is designed for guidance, explanation, and Odoo-specific support.

What Odoo Ask Mode Can Help With
Odoo Ask Mode can help users with:
Odoo functional questions
Odoo technical questions
Odoo menu navigation
Odoo configuration guidance
Odoo troubleshooting
Odoo error explanation
Odoo best-practice suggestions
Odoo implementation approach
Odoo module behavior explanation
Odoo field, model, and workflow understanding
Odoo version-related guidance
Odoo code examples where needed
Odoo XML, Python, model, and view guidance
When to Use Odoo Ask Mode
Use Odoo Ask Mode when:
You need an explanation about Odoo.
You want to understand an Odoo feature.
You need help finding the correct Odoo menu.
You want to troubleshoot an Odoo error.
You need functional or technical guidance before execution.
You want Odoo-specific answers without creating tasks or changing the database.
Output Behavior
Odoo Ask Mode may provide:
Short answer
Step-by-step guidance
Odoo menu paths
Functional explanation
Technical explanation
Configuration steps
Troubleshooting checklist
Best-practice notes
Example workflows
Python code examples
XML view examples
Model and field guidance
Warnings before making changes
Suggestions for which Odoo Pilot mode to use next
Odoo Knowledge Guidance
Odoo Ask Mode may search Odoo-related knowledge and provide guidance based on the user’s question.
It can help users understand functional flows, technical behavior, configuration steps, error reasons, and possible fixes.
When answering technical questions, Odoo Ask Mode may provide:
- Explanation of the issue
- Correct Odoo approach
- Menu paths
- XML examples
- Python examples
- Manifest loading order guidance
- Quick checklist
- What to check next
- Which file or configuration may need correction
Limitations
Odoo Ask Mode should stay focused on Odoo.
It should not be used for:
General non-Odoo questions
Creating full custom modules
Executing database changes
Generating website pages
Importing master data
Applying direct customization
Running implementation tasks
If the user request requires action, Odoo Ask Mode guides the user to the correct mode, such as Implementation Mode, Pilot Studio, Module Builder, or Website Builder.
Best Practices
Use Odoo Ask Mode when you want to understand an Odoo topic before execution.
A good Odoo Ask prompt should include:
Providing complete details helps Odoo Ask Mode give a more accurate answer in fewer attempts. This can reduce credit utilization on complete and accurate requirements at once.
H1: AI Code Review for Odoo: Auto-Audit Every PR with Claude
Every pull request that lands in your Odoo repository is a small bet. Most of the time it pays off, but the one PR that slips a broken access rule or a silent ORM override past review is the one that surfaces three weeks later as a production incident. Human reviewers are good, but they get tired, they skim under deadline pressure, and security checks are the first thing dropped when a release is due. An AI code review pipeline closes that gap by putting a consistent reviewer on every single diff, and it is one of the highest leverage changes I recommend during an Odoo ERP implementation for SMEs where the team is small and review capacity is the bottleneck.
H2: Why Odoo Codebases Need a Review Gate More Than Most
That breadth is exactly what makes manual review hard. A reviewer who is strong on Python may not catch a subtle access rights regression, and the person who understands the security model may not be in the room that day. A consistent automated reviewer that examines every diff against the same checklist does not get distracted, does not skip the boring files, and does not have an off day. It will not catch everything, but it catches the recurring categories of mistake that pile up in fast-moving teams.
H3: What an AI Code Review Pipeline Actually Does
The flow is the same whether you use the official Anthropic action or a custom script. A pull request is opened or updated, which fires a pull request event. The GitHub Actions runner checks out the code, fetches the diff of what changed, and sends that diff to Claude Sonnet with a prompt describing what to look for. Claude returns structured findings, the workflow converts them into review comments, and they land inline on the exact lines where the issues were found. Crucially, the findings are tagged by severity and posted as comments, so they inform the review without automatically approving or blocking the PR. Your existing review workflow stays intact.
H4: What Claude Sonnet Looks For in an Odoo Diff
A well-prompted review covers several axes at once. It flags logic errors and regressions like missing returns, null dereferences, and off-by-one mistakes. It checks error handling for swallowed exceptions and overly broad catches. It looks for security vulnerabilities, ideally aligned to a recognised standard such as OWASP. And with the right context, it can reason about Odoo-specific concerns: whether a new field has appropriate access rules, whether an XML view inheritance uses a stable xpath, and whether a model override calls super correctly so it does not break other modules in the chain.
H5: What Claude Sonnet Looks For in an Odoo Diff
The pipeline is an assistant, not a replacement. It helps humans review faster, catch common risks earlier, and keep the workflow practical, but the human in the loop still owns the decision to merge. The AI is excellent at the consistent, mechanical, easy-to-forget checks. People remain better at judging whether a change actually solves the business problem, whether the approach fits the architecture, and whether the trade-offs are acceptable. This division of labour is the same principle I covered when looking at whether a non-developer can build Odoo modules with Claude Code: the AI raises the floor, but a person still owns the ceiling.
H6: Reviewer Fatigue and the Hidden Cost of Missed Bugs
You need an Anthropic API key, a GitHub repository with pull request workflows enabled, and admin rights to add secrets. Store the key as a repository or, better, an organisation-level secret named ANTHROPIC_API_KEY. Never hardcode it, never log it, and never pass it as a workflow input that could appear in logs.
What Claude Sonnet Looks For in an Odoo Diff
A well-prompted review covers several axes at once. It flags logic errors and regressions like missing returns, null dereferences, and off-by-one mistakes. It checks error handling for swallowed exceptions and overly broad catches. It looks for security vulnerabilities, ideally aligned to a recognised standard such as OWASP. And with the right context, it can reason about Odoo-specific concerns: whether a new field has appropriate access rules, whether an XML view inheritance uses a stable xpath, and whether a model override calls super correctly so it does not break other modules in the chain.
Conclusion
An AI code review pipeline does not make your developers redundant. It makes their review time count for more by handling the consistent, mechanical checks that fatigue erodes, leaving people free to focus on architecture and business fit. For an Odoo codebase, where a single PR can span Python, XML, and security rules, that consistency is worth a great deal. Start with the official action and a simple workflow, treat every diff and every model response as untrusted, teach Claude your standards through a CLAUDE.md file, and tune the severity threshold so the findings stay high signal. Done well, every PR arrives at the merge gate already audited, and the bugs that used to surface in production get caught while they are still cheap to fix.
Frequently Asked Questions
Does the AI pipeline automatically block or merge pull requests?
No, and that is by design. Findings are posted as inline comments tagged by severity, so they inform the human reviewer without approving or blocking the PR. Your existing merge gate and review workflow stay exactly as they are.
Will Claude Sonnet understand Odoo-specific patterns like view inheritance?
It understands them well when you give it context. A CLAUDE.md context file describing your module structure and standards, plus a prompt that names Odoo concerns like ir.model.access and XML inheritance, produces far more relevant findings than a generic review.
How do I keep my API key and repository secure in CI?
Store the key as a repository or organisation secret, apply least privilege permissions to the workflow, and rely on the default behaviour that fork pull requests cannot access secrets. Treat the diff and the model output as untrusted and validate before posting.
Does this replace human code reviewers?
No. It is an assistant that catches common, repetitive risks early so human reviewers can focus on judgment calls about architecture and business value. The human in the loop still owns every merge decision.
URL Slug Variants
- ai-code-review-pipeline-claude-sonnet-odoo-pr
- claude-sonnet-odoo-pr-review-pipeline
- automate-odoo-code-review-claude-github-actions
Account Settings
Account Settings allow users to manage their profile details, team members, password, two-factor authentication, usage, conectors, figma and account deletion options.
Users can open Account Settings from the settings icon in the left sidebar.
Account
The Account section is used to manage basic user profile information and general interface preferences.

Users can view or update:
- Name
- Email address
- Company name
- Occupation
- More about you
The More about you field can be used to add background, preferences, location, or other useful context that helps Odoo Pilot understand the user better.
General Settings
The Account section also includes theme preferences.
Available theme options may include:
- Light Mode
- Dark Mode
- System Preferences
After making changes, users should click Save. To discard changes, users can click Cancel.
Team
Overview
The Team section allows workspace owners and authorized users to manage collaborators across Odoo Pilot projects.

It is used to control:
- workspace access
- member roles
- project assignments
- pending invitations
- available seats under the current plan
This section is useful when teams want to collaborate with consultants, developers, project managers, business analysts, or functional experts inside Odoo Pilot.
What Users Can Do in Team
Users can:
- view all team members
- view active members
- view pending invites
- invite a new member
- assign a member to a specific project
- assign the appropriate role
- search members
- filter members by role
- resend a pending invite
- revoke a pending invite
- review available seats for the current plan
Team Overview Cards
At the top of the Team page, Odoo Pilot may show summary cards such as:
- Active members
- Pending invites
- Available seats
These cards help users quickly understand current team usage and invitation status.
Team Member Tabs
The Team page may include tabs such as:
- All members
- Active
- Pending
These tabs help users switch between the full member list, active users only, and pending invitations only.
Team Member List
The Team member table may show details such as:
- Member
- Role
- Projects
- Status
- Actions
Search and Filter
The Team page may provide:
- a Search members field
- a Role filter dropdown
These options help users quickly find a member or view only a specific role group.
Invite Team Member
To invite a team member:
- Open Account Settings
- Go to Team
- Click Invite member
- Select the project
- Enter the team member’s email address
- Select the correct role
- Click Send invite
Available Roles
Available roles may include:
- Owner
- Admin
- Project Manager
- Business Analyst
- Functional Expert
- Developer
The available roles can define what type of work or access the invited member has inside the workspace or project.
Pending Invites
Invited users appear under Pending until they accept the invitation.
For pending invites, users may be able to:
- Resend the invite
- Revoke the invite
This is helpful when:
- the invited user did not receive the email
- the wrong member was invited
- the project assignment needs to be changed
When to Use the Team Page
Use the Team page when:
- you want to invite a new collaborator
- you need to assign a member to a project
- you want to review who has access to which project
- you need to check pending invitations
- you want to manage roles
- you need to confirm whether seats are still available
Best Practices
- Assign the correct role when inviting a member.
- Invite members only to the projects they need.
- Review pending invites regularly.
- Revoke unused or incorrect invitations.
- Use the search and role filter when the team list becomes large.
- Check available seats before sending multiple invites.
- Review project assignments so members only access relevant workspaces or projects.
Security
The Security section is used to manage password, active sessions, two-factor authentication, and account deletion.
Change Password
Users can update their password from the Security section.
To change the password:
- Go to Account Settings.
- Open Security.
- Enter the New password.
- Confirm the new password.
- Optionally select Sign out of all other sessions.
- Click Update password.
The password fields may include an eye icon so users can show or hide the typed password.
Sign Out of Other Sessions
When updating the password, users may select Sign out of all other sessions.
This signs the account out from other active sessions while keeping the current session active.
Two-Factor Authentication
Two-Factor Authentication adds an extra security layer to the account.
When enabled, users must use an authenticator app and enter a 6-digit code during setup or verification.
Users can:
- Enable two-factor authentication
- Confirm setup using a 6-digit code
- Disable two-factor authentication if needed
Best Practice: Keeping two-factor authentication enabled is recommended for accounts that manage Odoo databases, GitHub connections, billing, or client project data.
Delete Account
The Delete account option permanently removes the user account and associated data.
Important: Users should use this carefully because account deletion may remove access to projects, chats, files, settings, team access, and workspace history.
Before deleting the account, users should save or export any important files, generated outputs, or project information.
Usage
The Usage section helps users review their current plan, available credits, workspace limits, team member usage, billing cycle, renewal date, and credit consumption history.
Users can use this section to understand how many credits are available and how credits are being used across Odoo Pilot chats and tasks.
Usage Overview
The Usage section may show:
- Current plan
- Included credits
- Remaining credits
- Workspaces
- Team members
- Billing cycle
- Renewal date
Users can also click Upgrade plan if they need more credits, more usage, or higher plan features.
Usage Record
The Usage record area shows recent credit deductions.
Each record may show the task or chat name and the number of credits used. This helps users track which prompts, tasks, or AI actions consumed credits.
How to Check if Credits Look High
If credits look higher than expected:
- Check which mode was used.
- Check whether the task included file processing.
- Check whether code or website generation was included.
- Check whether execution was performed.
- Check whether multiple follow-up steps were used.
- Compare estimated credits before execution with final usage after completion.
Website Usage & Billing
The Website usage & billing option opens the full usage and billing log.

This log may include:
- Date
- Details
- Credits
- Tokens
- Mode
- Count type
Users can review this log to understand detailed credit usage for completed chat turns and older entries.
Cancel Subscription
If a paid subscription is active, users may see a Cancel subscription option.
When the user clicks it, Odoo Pilot shows a confirmation popup. The user can either keep the subscription or confirm cancellation.

Connectors
The Connectors section is used to manage external account connections such as GitHub and Figma.
These connectors help Odoo Pilot work with source code, repositories, design files, and website design references.
GitHub Connector
The GitHub connector allows users to connect multiple GitHub accounts for code-related workflows.

Users can:
- Add multiple GitHub account
- Manage linked GitHub accounts
- View connected GitHub account details
- Disconnect a linked GitHub account where available
Odoo Pilot may show an account picker when adding another GitHub account. Users do not need to log out of GitHub first.
This connector is useful for Module Builder and Website Builder work where generated code may need to be pushed, pulled, reviewed, or linked with a repository.
Repository Management
Overview
Repository Management helps users organize generated Odoo module code, connector files, and website assets in GitHub.

Creating a New Repository
- Open the required project.
- Confirm GitHub is connected.
- Open the GitHub or repository section.
- Choose Create New Repository.
- Enter a clear repository name.
- Select visibility.
- Create and link the repository.
Selecting a Branch
Use a dedicated branch for each task.
Examples:
- feature/sale-approval
- fix/module-install-error
- website/homepage-update
- connector/shipstation-sync
Avoid working directly on main unless the code is already reviewed.
Pulling Latest Code
Before generating or pushing new changes, pull the latest code from GitHub. This reduces the risk of overwriting work done by another developer.
Pushing Code
Before pushing:
- Review generated files.
- Confirm repository and branch.
- Add a clear commit message.
- Push the code.
- Verify the pushed files in GitHub.
- Test the code on staging.
Disconnecting Repository
Disconnecting a repository from Odoo Pilot should remove the link only. It should not delete the GitHub repository, branches, commits, or files.
Figma Connector
The Figma connector allows users to connect Figma so they can attach design frames and assets for website generation.
This is useful in Website Builder Mode when users want to convert a Figma design into Odoo-compatible website pages, sections, snippets, or module assets.If users need more frequent Figma usage, they may need to upgrade their plan.
Users can attach Figma in two ways:
- Add from Figma
- Connect Figma from Account Settings → Connectors
How to Connect Figma
To use Figma with Website Builder:

- Open Account Settings.
- Go to Connectors.
- Find Figma.
- Click Connect.
- Complete the Figma connection process.
- Return to Website Builder Mode and attach the Figma design or frame.
After Figma is connected, users can provide a Figma design URL or select a frame where available.
Using Figma in Website Builder
To generate a website from Figma:
- Open Website Builder Mode.
- Click the attachment/add option.
- Select Add from Figma.
- Paste the Figma design or frame URL.
- Click Load or Sync latest.
- Select the correct frame if multiple frames are available.
- Ask Odoo Pilot to generate the Odoo website output.
- Review the generated preview and files.
The generated output may include website pages, snippets, XML templates, CSS/SCSS, JavaScript files, images, and module files.
Figma Load and Sync Options

The Figma popup may include:
- Load
Loads the provided Figma URL or available saved Figma structure. - Sync latest
Attempts to fetch the latest Figma design data.
If the latest sync is unavailable, Odoo Pilot may continue using the most recently imported Figma structure where available.
Figma Limitations
Figma usage may be limited based on the user’s plan or Figma API limits.
Users may face issues such as:
- Figma rate limit reached
- Figma URL not loading
- Wrong frame selected
- Figma file permission issue
- Make sure the connected Figma account has view access
- Design not fully converted into Odoo layout
- Missing assets or images
- Large Figma files taking longer to process
Free or limited plans may hit Figma usage limits faster. If more Figma usage is required, users may need to upgrade to a higher plan.
If Figma rate limit reached appears, users should wait and retry later, use the last loaded design structure if available, or upgrade the plan if more Figma usage is needed.
Best Practices
- Connect the correct GitHub account before generating code.
- Use separate repositories or branches for different clients.
- Avoid pushing directly to production branches.
- Pull latest code before pushing new changes.
- Review generated files before pushing.
- Test modules on staging before production.
H1: AI Code Review for Odoo: Auto-Audit Every PR with Claude
Every pull request that lands in your Odoo repository is a small bet. Most of the time it pays off, but the one PR that slips a broken access rule or a silent ORM override past review is the one that surfaces three weeks later as a production incident. Human reviewers are good, but they get tired, they skim under deadline pressure, and security checks are the first thing dropped when a release is due. An AI code review pipeline closes that gap by putting a consistent reviewer on every single diff, and it is one of the highest leverage changes I recommend during an Odoo ERP implementation for SMEs where the team is small and review capacity is the bottleneck.
H2: Why Odoo Codebases Need a Review Gate More Than Most
That breadth is exactly what makes manual review hard. A reviewer who is strong on Python may not catch a subtle access rights regression, and the person who understands the security model may not be in the room that day. A consistent automated reviewer that examines every diff against the same checklist does not get distracted, does not skip the boring files, and does not have an off day. It will not catch everything, but it catches the recurring categories of mistake that pile up in fast-moving teams.
H3: What an AI Code Review Pipeline Actually Does
The flow is the same whether you use the official Anthropic action or a custom script. A pull request is opened or updated, which fires a pull request event. The GitHub Actions runner checks out the code, fetches the diff of what changed, and sends that diff to Claude Sonnet with a prompt describing what to look for. Claude returns structured findings, the workflow converts them into review comments, and they land inline on the exact lines where the issues were found. Crucially, the findings are tagged by severity and posted as comments, so they inform the review without automatically approving or blocking the PR. Your existing review workflow stays intact.
H4: What Claude Sonnet Looks For in an Odoo Diff
A well-prompted review covers several axes at once. It flags logic errors and regressions like missing returns, null dereferences, and off-by-one mistakes. It checks error handling for swallowed exceptions and overly broad catches. It looks for security vulnerabilities, ideally aligned to a recognised standard such as OWASP. And with the right context, it can reason about Odoo-specific concerns: whether a new field has appropriate access rules, whether an XML view inheritance uses a stable xpath, and whether a model override calls super correctly so it does not break other modules in the chain.
H5: What Claude Sonnet Looks For in an Odoo Diff
The pipeline is an assistant, not a replacement. It helps humans review faster, catch common risks earlier, and keep the workflow practical, but the human in the loop still owns the decision to merge. The AI is excellent at the consistent, mechanical, easy-to-forget checks. People remain better at judging whether a change actually solves the business problem, whether the approach fits the architecture, and whether the trade-offs are acceptable. This division of labour is the same principle I covered when looking at whether a non-developer can build Odoo modules with Claude Code: the AI raises the floor, but a person still owns the ceiling.
H6: Reviewer Fatigue and the Hidden Cost of Missed Bugs
You need an Anthropic API key, a GitHub repository with pull request workflows enabled, and admin rights to add secrets. Store the key as a repository or, better, an organisation-level secret named ANTHROPIC_API_KEY. Never hardcode it, never log it, and never pass it as a workflow input that could appear in logs.
What Claude Sonnet Looks For in an Odoo Diff
A well-prompted review covers several axes at once. It flags logic errors and regressions like missing returns, null dereferences, and off-by-one mistakes. It checks error handling for swallowed exceptions and overly broad catches. It looks for security vulnerabilities, ideally aligned to a recognised standard such as OWASP. And with the right context, it can reason about Odoo-specific concerns: whether a new field has appropriate access rules, whether an XML view inheritance uses a stable xpath, and whether a model override calls super correctly so it does not break other modules in the chain.
Conclusion
An AI code review pipeline does not make your developers redundant. It makes their review time count for more by handling the consistent, mechanical checks that fatigue erodes, leaving people free to focus on architecture and business fit. For an Odoo codebase, where a single PR can span Python, XML, and security rules, that consistency is worth a great deal. Start with the official action and a simple workflow, treat every diff and every model response as untrusted, teach Claude your standards through a CLAUDE.md file, and tune the severity threshold so the findings stay high signal. Done well, every PR arrives at the merge gate already audited, and the bugs that used to surface in production get caught while they are still cheap to fix.
Frequently Asked Questions
Does the AI pipeline automatically block or merge pull requests?
No, and that is by design. Findings are posted as inline comments tagged by severity, so they inform the human reviewer without approving or blocking the PR. Your existing merge gate and review workflow stay exactly as they are.
Will Claude Sonnet understand Odoo-specific patterns like view inheritance?
It understands them well when you give it context. A CLAUDE.md context file describing your module structure and standards, plus a prompt that names Odoo concerns like ir.model.access and XML inheritance, produces far more relevant findings than a generic review.
How do I keep my API key and repository secure in CI?
Store the key as a repository or organisation secret, apply least privilege permissions to the workflow, and rely on the default behaviour that fork pull requests cannot access secrets. Treat the diff and the model output as untrusted and validate before posting.
Does this replace human code reviewers?
No. It is an assistant that catches common, repetitive risks early so human reviewers can focus on judgment calls about architecture and business value. The human in the loop still owns every merge decision.
URL Slug Variants
- ai-code-review-pipeline-claude-sonnet-odoo-pr
- claude-sonnet-odoo-pr-review-pipeline
- automate-odoo-code-review-claude-github-actions
Credits and Usage Tracking
Overview
Odoo Pilot uses credits for AI-powered tasks, content generation, execution, file processing, and other supported actions. Users should check their available credit balance before running large or complex tasks.
Credit usage may vary depending on the selected mode, task complexity, number of files, amount of generated content, and execution requirements.
Subscription Plans
Odoo Pilot provides upgrade plans for users who need more credits, more workspaces, more team members, or higher usage capacity.
Users can open the upgrade plans from:

- The Upgrade button in the top bar
- The Upgrade option in the user profile menu
- Account Settings → Usage → Upgrade plan
The upgrade popup shows available plans and allows users to compare features before choosing a plan.
Free Account Allowance
- Every new user receives 300 one-time free credits.
- These free credits help new users test Odoo Pilot features before upgrading to a paid plan.
- Free credits are limited and do not refresh like paid subscription credits unless the current plan includes a recurring credit allowance.
Subscription Credits
Subscription credits are credits included with the selected plan.

They can be used for supported Odoo Pilot actions, including:
- Chat responses
- Estimates and gap analysis reports
- Mockup generation
- Implementation tasks
- File processing
- Module generation
- Website generation
- Pilot Studio actions
- Execution-related tasks

Subscription Credit Validity
Subscription credits are valid for 30 days from the date they are issued.
When the subscription renews, the account receives the credits included with the active plan for the new billing cycle. Any subscription credits that reach the end of their 30-day validity period will expire, even if they have not been used.
Users should therefore monitor their remaining credits and use them before their expiry date.
Add-On Credit Purchases
Add-on credits are additional credits purchased separately from the main subscription plan.
Users can purchase add-on credits when their subscription credits are insufficient for:
- Large implementation tasks
- Additional estimates or mockups
- Module development
- Website generation
- File-heavy processing
- Pilot Studio execution
- Other high-usage activities
Purchased add-on credits are added to the account’s Remaining Credits balance.
Add-On Credit Validity and Rollover
Add-on credits do not expire.
Unlike subscription credits, they are not limited to a 30-day billing cycle. Any unused add-on credits remain available in the account until they are consumed.
This means users can purchase additional credits for future work without losing them at the end of the current subscription period.
Users can check the Usage section to review their total remaining balance and confirm the credits available on their account.
What Happens to Credits During a Plan Upgrade
When a user upgrades to a higher subscription plan, any remaining valid credits from the previous plan are rolled over and remain available alongside the credits provided by the new plan.
However, rolled-over subscription credits keep their original 30-day validity period.
For example, if credits from the previous plan have 10 days of validity remaining at the time of the upgrade, those credits will remain available for those 10 days. Upgrading the plan does not restart or extend their expiry period.
Add-on credits are not affected by a plan upgrade and continue to remain available without expiry.
After upgrading, users should review the Usage page to confirm:
- Current subscription plan
- Remaining credits
- Newly added plan credits
- Credit validity or expiry
- Workspace limit
- Team member limit
- Subscription renewal date
Usage Summary in the Profile Menu
The user profile menu may display a quick summary of:
- Current plan
- Available credits
- Workspace usage
- Team member usage
- Upgrade option
This allows users to quickly review their plan and available capacity without opening the complete Usage page.
Best Practices
Before upgrading, users should review their current usage, remaining credits, workspace limit, team member limit, and upcoming credit expiry.
Choose a plan based on actual usage requirements:
- Use a smaller plan for light pre-sales work, mockups, and smaller Odoo tasks.
- Use a higher plan for regular implementations, module generation, website development, and team collaboration.
- Purchase add-on credits when temporary extra capacity is required without changing the subscription plan.
For better credit control:
- Provide complete and detailed prompts.
- Attach only the files required for the task.
- Avoid repeatedly generating the same output.
- Review tasks before approving execution.
- Check usage records after large tasks.
- Use subscription credits before their 30-day validity expires.
- Keep add-on credits available for temporary usage increases or future projects.
Users should always review the Usage page after upgrading or purchasing add-on credits to confirm that their balance and account limits have been updated correctly.
Help & Support Tickets
The Help & Support option is available from the floating support icon on the bottom-right side of the workspace.
Users can use Help & Support to create a new support ticket, review existing tickets, track ticket status, and continue conversation with the support team.
How to Create a New Ticket
The New Ticket tab is used to submit a new support request.

Users can select an issue type such as:
Bug / Error
Odoo Connection
AI Response Issue
Execution / Rollback
Billing
Data Import Issue
Feature Request
Other
Users can also choose a priority level:
Low
Medium
High
Critical
After selecting the issue type and priority, users should add a clear subject and click Next: Add Details.
Add Ticket Details
After clicking Next: Add Details, users can describe the issue in detail.

This area may include:
Describe your issue
Attachments
Browse Files
Back
Cancel
Submit ticket
Users can attach files such as screenshots, PDFs, or images where supported. Attachments help support understand the issue faster.
After adding the details and attachments, users can click Submit ticket.
My Ticket
The My Ticket tab shows submitted support tickets.

Users can:
Search tickets
Filter tickets by status
Open a ticket
Review ticket details
Check ticket priority
Check ticket status
Continue conversation with support
Ticket status may show values such as Waiting on Support.
When to Create a Support Ticket
Users should create a support ticket when they need help with:
Platform bugs or UI issues
Odoo connection problems
AI response issues
Failed execution
Rollback issues
Billing or credit questions
Data import problems
Missing or incorrect generated files
Feature requests
Unexpected errors
Best Practices
When creating a support ticket, provide clear details so the support team can understand the issue quickly.
A good support ticket should include:
Clear subject
Issue type
Correct priority
Project or chat name if relevant
Mode used, such as Implementation, Pilot Studio, Module Builder, Website Builder, or Odoo Ask
What the user expected
What actually happened
Screenshot or attachment if available
Error message if any
Steps to reproduce the issue
Providing complete details helps reduce back-and-forth messages and allows support to investigate the issue faster.
Branch Management and Long Chats
Odoo Pilot allows users to create a branch from an existing chat. A branch starts a new chat from the selected point while keeping the original chat unchanged.
Why Odoo Pilot suggests a branch
When a conversation becomes very long, Odoo Pilot may suggest creating a branch. This keeps the work focused and avoids carrying too much old context into new responses.
Long chats may include:
- Many prompts
- Large task outputs
- Execution logs
- Retries
- File reviews
- Implementation steps
- Code generation history
- Multiple unrelated follow-up questions
Creating a Branch from a Response
Users may see a Branch option near a response.
When the user clicks Branch, Odoo Pilot opens the Create branch popup.

The popup may include:
- Branch title
- Cancel
- Create branch
The branch title is usually generated from the current chat or response, but users can edit it before creating the branch.
After clicking Create branch, Odoo Pilot creates a new chat with the conversation history up to that point. The original chat remains unchanged.

When to Use a Branch
Use a branch when:
- The task enters a new phase
- The user wants to test a different approach
- The user wants to continue from a specific response
- The original chat should remain unchanged
- The current chat has too many old logs, retries, or unrelated tasks
Best Practices
- Use branches to keep Odoo Pilot chats organized.
- Create a branch when moving to a new phase, testing a different solution, or continuing from a specific response. Use a clear branch title so it is easy to identify later.
- Branching helps Odoo Pilot stay focused, reduces unnecessary context, and can make future responses cleaner and more accurate.
Pilot Agent Selection
Odoo Pilot allows users to choose the agent/model level used for a task.

Available options may include:
- Pilot Auto
- Pilot Lite
- Pilot Pro
- Pilot Max Pro
Credit Usage Impact
Yes, the selected agent/model can affect credit usage.
Higher-capability agents may consume more credits because they are designed for more complex reasoning, larger context, code generation, execution planning, and detailed outputs.
Pilot Auto may use different agent/model levels depending on the task complexity, so credit usage can vary from one task to another.
Credit usage may also increase when the task includes:
File processing
Long conversation context
Planning and subtasks
Odoo-side execution
Code generation
Website or module generation
Multiple retries or reimplementation steps
Best Practices
If credit usage seems higher than expected:
Check which agent/model was selected: Pilot Auto, Pilot Lite, Pilot Pro, or Pilot Max Pro.
Remember that Pilot Auto automatically selects the best available agent/model for the task, so credit usage may vary based on task complexity.
Review whether the task included planning, execution, file generation, code generation, database actions, or multiple follow-up steps.
Check the credits shown before execution and the final credit usage after completion.
For lower credit usage, users should choose the right agent for the task and provide complete requirements in the first prompt to avoid unnecessary retries.
H1: AI Code Review for Odoo: Auto-Audit Every PR with Claude
Every pull request that lands in your Odoo repository is a small bet. Most of the time it pays off, but the one PR that slips a broken access rule or a silent ORM override past review is the one that surfaces three weeks later as a production incident. Human reviewers are good, but they get tired, they skim under deadline pressure, and security checks are the first thing dropped when a release is due. An AI code review pipeline closes that gap by putting a consistent reviewer on every single diff, and it is one of the highest leverage changes I recommend during an Odoo ERP implementation for SMEs where the team is small and review capacity is the bottleneck.
H2: Why Odoo Codebases Need a Review Gate More Than Most
That breadth is exactly what makes manual review hard. A reviewer who is strong on Python may not catch a subtle access rights regression, and the person who understands the security model may not be in the room that day. A consistent automated reviewer that examines every diff against the same checklist does not get distracted, does not skip the boring files, and does not have an off day. It will not catch everything, but it catches the recurring categories of mistake that pile up in fast-moving teams.
H3: What an AI Code Review Pipeline Actually Does
The flow is the same whether you use the official Anthropic action or a custom script. A pull request is opened or updated, which fires a pull request event. The GitHub Actions runner checks out the code, fetches the diff of what changed, and sends that diff to Claude Sonnet with a prompt describing what to look for. Claude returns structured findings, the workflow converts them into review comments, and they land inline on the exact lines where the issues were found. Crucially, the findings are tagged by severity and posted as comments, so they inform the review without automatically approving or blocking the PR. Your existing review workflow stays intact.
H4: What Claude Sonnet Looks For in an Odoo Diff
A well-prompted review covers several axes at once. It flags logic errors and regressions like missing returns, null dereferences, and off-by-one mistakes. It checks error handling for swallowed exceptions and overly broad catches. It looks for security vulnerabilities, ideally aligned to a recognised standard such as OWASP. And with the right context, it can reason about Odoo-specific concerns: whether a new field has appropriate access rules, whether an XML view inheritance uses a stable xpath, and whether a model override calls super correctly so it does not break other modules in the chain.
H5: What Claude Sonnet Looks For in an Odoo Diff
The pipeline is an assistant, not a replacement. It helps humans review faster, catch common risks earlier, and keep the workflow practical, but the human in the loop still owns the decision to merge. The AI is excellent at the consistent, mechanical, easy-to-forget checks. People remain better at judging whether a change actually solves the business problem, whether the approach fits the architecture, and whether the trade-offs are acceptable. This division of labour is the same principle I covered when looking at whether a non-developer can build Odoo modules with Claude Code: the AI raises the floor, but a person still owns the ceiling.
H6: Reviewer Fatigue and the Hidden Cost of Missed Bugs
You need an Anthropic API key, a GitHub repository with pull request workflows enabled, and admin rights to add secrets. Store the key as a repository or, better, an organisation-level secret named ANTHROPIC_API_KEY. Never hardcode it, never log it, and never pass it as a workflow input that could appear in logs.
What Claude Sonnet Looks For in an Odoo Diff
A well-prompted review covers several axes at once. It flags logic errors and regressions like missing returns, null dereferences, and off-by-one mistakes. It checks error handling for swallowed exceptions and overly broad catches. It looks for security vulnerabilities, ideally aligned to a recognised standard such as OWASP. And with the right context, it can reason about Odoo-specific concerns: whether a new field has appropriate access rules, whether an XML view inheritance uses a stable xpath, and whether a model override calls super correctly so it does not break other modules in the chain.
Conclusion
An AI code review pipeline does not make your developers redundant. It makes their review time count for more by handling the consistent, mechanical checks that fatigue erodes, leaving people free to focus on architecture and business fit. For an Odoo codebase, where a single PR can span Python, XML, and security rules, that consistency is worth a great deal. Start with the official action and a simple workflow, treat every diff and every model response as untrusted, teach Claude your standards through a CLAUDE.md file, and tune the severity threshold so the findings stay high signal. Done well, every PR arrives at the merge gate already audited, and the bugs that used to surface in production get caught while they are still cheap to fix.
Frequently Asked Questions
Does the AI pipeline automatically block or merge pull requests?
No, and that is by design. Findings are posted as inline comments tagged by severity, so they inform the human reviewer without approving or blocking the PR. Your existing merge gate and review workflow stay exactly as they are.
Will Claude Sonnet understand Odoo-specific patterns like view inheritance?
It understands them well when you give it context. A CLAUDE.md context file describing your module structure and standards, plus a prompt that names Odoo concerns like ir.model.access and XML inheritance, produces far more relevant findings than a generic review.
How do I keep my API key and repository secure in CI?
Store the key as a repository or organisation secret, apply least privilege permissions to the workflow, and rely on the default behaviour that fork pull requests cannot access secrets. Treat the diff and the model output as untrusted and validate before posting.
Does this replace human code reviewers?
No. It is an assistant that catches common, repetitive risks early so human reviewers can focus on judgment calls about architecture and business value. The human in the loop still owns every merge decision.
URL Slug Variants
- ai-code-review-pipeline-claude-sonnet-odoo-pr
- claude-sonnet-odoo-pr-review-pipeline
- automate-odoo-code-review-claude-github-actions
FAQs
What is Odoo Pilot?
Odoo Pilot is an AI-powered workspace for Odoo teams. It helps with pre-sales, estimates, mockups, implementation planning, database configuration, module generation, website building, GitHub workflow, and Odoo-specific support.
Can Odoo Pilot connect to my Odoo database?
Yes. Where supported, Odoo Pilot can connect to an Odoo database to understand project context, verify records, apply approved configuration, and perform supported execution tasks.
What is Pre-Sales Mode used for?
Pre-Sales Mode is used before implementation starts. It helps users create estimates, gap analysis reports, proposal-ready outputs, and mockups for client discussions.
Can I download Pre-Sales reports and mockups?
Yes. Pre-Sales estimate reports may be downloaded as PDF or Word where available. Mockup storyboards may also support PDF download.
What is the difference between Implementation Mode and Pilot Studio?
Implementation Mode is for standard Odoo setup, imports, master data, task planning, and guided implementation.
Pilot Studio is for direct Odoo-side customization such as custom fields, views, menus, filters, automated actions, scheduled actions, and technical behavior changes.
What is Module Builder used for?
Module Builder is used to create, improve, or fix Odoo modules, connectors, custom apps, reports, wizards, controllers, security files, and downloadable ZIP modules.
What is Website Builder used for?
Website Builder is used to create Odoo website pages, snippets, landing pages, frontend sections, and website module assets from prompts, screenshots, Figma designs, or local files.
What is Odoo Ask Mode used for?
Odoo Ask Mode is used for Odoo-specific questions, explanations, troubleshooting, menu guidance, best practices, and technical or functional support. It does not mainly execute database changes or generate full modules.
Can I upload files?
Yes. Users can upload requirement documents, screenshots, CSV/XLSX files, ZIP modules, code files, design references, and other supported files.
Can Odoo Pilot update existing records instead of creating duplicates?
Yes. The prompt should clearly say that existing records should be updated instead of duplicated. Use exact names, emails, internal references, barcodes, external IDs, or other unique identifiers.
Where can I check what Odoo Pilot executed?
Use Execution Footprints. Footprints show performed steps, models used, successful and failed actions, errors, technical responses, and rollback availability where supported.
What is Re-implement?
Re-implement is used when a task needs to be run again with corrected details, missing information, or a follow-up instruction. It helps complete failed, skipped, or partially completed work without starting everything again.
Should I use rollback if something looks wrong?
Use rollback only after reviewing the task result and footprints. Do not rollback blindly because it may undo useful work if the task actually completed correctly.
Why does Odoo Pilot ask for more information?
Odoo Pilot may ask for more information when the task is missing required data, field values, file uploads, Odoo app names, record identifiers, or confirmation before execution.
What is Pilot Agent Selection?
Pilot Agent Selection allows users to choose the agent/model level such as Pilot Auto, Pilot Lite, Pilot Pro, or Pilot Max Pro. Higher-capability agents may consume more credits depending on task complexity.
Why are credits consumed differently for different tasks?
Credit usage depends on the selected agent/model, prompt complexity, file processing, task planning, execution, code generation, website generation, and follow-up steps.
How many free credits does a new user get?
Every new user receives 300 one-time free credits for initial testing.
Can I connect GitHub?
Yes. Odoo Pilot can connect with GitHub where available. Users can pull latest code, push generated code, create branches, create repositories, and manage code workflows.
Can Website Builder use Figma?
Yes. Website Builder can use Figma designs when Figma is connected. Users can attach a Figma URL, load or sync the latest design, select frames, and generate Odoo-compatible website output.
What happens if Figma rate limit is reached?
If Figma rate limit is reached, users may need to wait and retry later, use the last loaded design structure if available, or upgrade the plan if more Figma usage is required.
What is Branch Management?
Branch Management allows users to create a new chat from a selected point in the conversation. This helps keep work focused without changing the original chat.
When should I create a branch?
Create a branch when the chat becomes long, the task enters a new phase, the topic changes, or the user wants to test a different approach while keeping the original chat unchanged.
How can I contact support?
Users can open Help & Support from the floating support icon, create a new ticket, choose issue type and priority, add details, attach screenshots, and submit the ticket.
What should I include in a support ticket?
A good support ticket should include issue type, priority, subject, project or chat name, mode used, expected result, actual result, screenshots, error messages, and steps to reproduce the issue.
How can I reduce credit usage?
Use clear and complete prompts, attach only required files, select the right agent/model, avoid repeated regeneration, review task plans before execution, and use Re-implement only when needed.
Best Practices
This section helps users get better results from Odoo Pilot, avoid unnecessary retries, reduce credit usage, and keep project work organized.
Choose the Right Mode
Select the correct mode before starting the task.
Use Pre-Sales Mode for estimates, proposals, gap analysis, and mockups.
Use Implementation Mode for standard Odoo setup, master data, imports, and guided configuration.
Use Pilot Studio for direct Odoo-side customization such as fields, views, filters, menus, and automation.
Use Module Builder Mode for custom modules, connectors, reports, controllers, and downloadable ZIP code.
Use Website Builder Mode for Odoo website pages, snippets, Figma-based designs, and website module assets.
Use Odoo Ask Mode for Odoo questions, troubleshooting, explanations, and best-practice guidance.
Choosing the right mode helps Odoo Pilot understand the task correctly and reduces unnecessary follow-up prompts.
Write Clear and Complete Prompts
A good prompt should clearly explain what the user wants Odoo Pilot to do.
Include:
Odoo version
App or module name
Business requirement
Target model or record
Required fields and values
Expected result
Create or update instruction
Duplicate-checking rule
File or screenshot if needed
Any known limitation or condition
Complete prompts help Odoo Pilot generate better results in fewer attempts.
Avoid Wasting Credits
Credits may be used for chat responses, file processing, planning, execution, code generation, website generation, and follow-up tasks.
To reduce unnecessary credit usage:
Provide complete requirements in the first prompt.
Attach only required files.
Avoid repeated regeneration for the same unclear request.
Review the task plan before execution.
Use Re-implement only when something is missing, failed, or incorrect.
Choose the right agent/model for the task.
Check usage records after large tasks.
Clear prompts and correct mode selection can help save credits.
Review Before Execution
Before Odoo Pilot applies changes, users should review the plan carefully.
Check:
Correct Odoo database is connected
Correct app or module is selected
Correct model or record is targeted
Required fields are included
Existing records will be reused where needed
No duplicate records should be created
Any missing information has been provided
For Pilot Studio, only type proceed after confirming the planned customization is correct.
Verify Results Inside Odoo
After execution, users should always verify the result directly inside Odoo.
Check:
Created or updated records
Fields and values
Form views
List views
Search filters
Menus and actions
Sales, purchase, inventory, accounting, or website flow
Imported data
Generated module installation
Website page or snippet output
Do not mark a task as reviewed until the result is confirmed inside Odoo.
Use Execution Footprints
Execution Footprints help users understand what Odoo Pilot actually did.
Users should check footprints to review:
Successful steps
Failed steps
Odoo model used
Search, create, update, or read actions
Created or reused records
Error details
Rollback availability
Footprints are important for auditing, troubleshooting, and confirming that the task touched the correct Odoo records.
Use Rollback Carefully
Rollback should only be used when the user is sure the executed change should be undone.
Use rollback when:
Wrong records were created
Wrong values were applied
A test execution needs to be reverted
The change is supported for rollback
Do not use rollback blindly. Some actions may not support rollback, such as searches, verification steps, existing records, posted accounting entries, or complex business flows.
Use Re-Implement for Corrections
Use Re-implement when a task needs correction or follow-up.
Use it when:
A task failed
Required information was missing
A step was skipped
The result is partially completed
A record exists but needs correction
A file needs to be uploaded again
The task should continue without creating duplicates
Re-implement helps complete missing work while keeping the original task history clear.
Keep Files Clean and Relevant
When uploading files, make sure they are related to the current task.
Best practices for files:
Use clear file names
Upload only required files
Avoid outdated templates
Keep CSV headers clean
Use Odoo-compatible values
Remove duplicate rows
Attach screenshots for UI or error issues
Upload ZIP files for full Odoo modules or connectors
Clean files help Odoo Pilot validate and process data more accurately.
Use GitHub Safely
When working with Module Builder or Website Builder, use GitHub carefully.
Best practices:
Connect the correct GitHub account
Pull latest code before editing
Use a separate branch for new work
Review code preview before pushing
Avoid pushing directly to main for large changes
Use clear commit messages
Test generated modules in a staging database first
GitHub helps manage code safely when multiple changes or team members are involved.
Use Figma Correctly
When using Figma in Website Builder:
Connect the correct Figma account
Make sure the Figma file has view access
Use the correct frame URL
Select the right frame
Avoid repeated sync attempts if rate limit appears
Use the last imported design if latest sync is unavailable
Upgrade the plan if more Figma usage is required
Figma works best when the design is clean, organized, and accessible.
Keep Chats Organized with Branches
Use branches when a chat becomes long or the task moves into a new phase.
Use a branch when:
The chat is too long
The topic changes
The task enters a new phase
The user wants to test another approach
The original chat should remain unchanged
Too many old logs, retries, or files are in the same chat
Branches help keep Odoo Pilot focused and improve response quality.
Manage Team Access Carefully
When inviting team members:
Select the correct project
Use the correct email address
Choose the right role
Review pending invites
Revoke incorrect invites
Give access only to users who need it
Team access should match the user’s responsibility in the project.
Keep Account and Security Updated
Users should keep their account secure.
Recommended actions:
Keep profile details updated
Use a strong password
Enable two-factor authentication
Sign out of other sessions when needed
Review account settings regularly
Delete account only after saving important data
Security is important when projects include Odoo databases, GitHub repositories, billing details, and client files.
Use Support Tickets Properly
Create a support ticket when help is needed for platform issues, failed execution, billing, imports, Odoo connection, or feature requests.
A good support ticket should include:
Issue type
Priority
Clear subject
Project or chat name
Mode used
Expected result
Actual result
Screenshots or attachments
Error message
Steps to reproduce
Complete support tickets help the support team investigate faster.
Final Recommendation
Use Odoo Pilot as a guided workspace, not just a chat tool.
For best results:
Choose the correct mode.
Give complete requirements.
Review before execution.
Verify inside Odoo.
Check footprints.
Use rollback and reimplement carefully.
Keep files, branches, GitHub, and support tickets organized.
Following these practices helps users get accurate results, reduce credit waste, and manage Odoo work more safely.

