AI Agent for Odoo Code Review: Catching Quality Issues Before They Ship

Why Odoo Code Needs Specialized Review

Generic code review tools do not understand Odoo. They cannot tell you that your computed field creates an N+1 query pattern, that your controller bypasses access rights with sudo(), that your XML view inheritance will break on upgrade, or that your JavaScript widget does not follow the OWL component lifecycle. Odoo has its own patterns, anti-patterns, and security model that require specialized knowledge.

An AI agent trained on Odoo's codebase and best practices catches issues that generic linters miss entirely.

Security Review

1. Access Control Issues

# AI flags security vulnerabilities:
"Security Review — custom_sales module

  CRITICAL: SQL injection risk
    File: controllers/api.py, line 45
    Code: cr.execute(f'SELECT * FROM sale_order WHERE
      name = \'{order_name}\'')
    Fix: Use parameterized query:
      cr.execute('SELECT * FROM sale_order WHERE
        name = %s', (order_name,))

  HIGH: Unrestricted sudo() usage
    File: models/sale_order.py, line 89
    Code: self.sudo().write({'state': 'done'})
    Issue: sudo() bypasses ALL access rights.
    Context: Called from a public controller.
    Fix: Use specific user context or validate permissions
    before sudo().

  MEDIUM: Missing access rights check
    File: controllers/export.py, line 23
    Code: records = request.env['hr.employee'].search([])
    Issue: No check_access_rights() before search.
    User with portal access could read all employees.
    Fix: Add explicit access check or use request.env.user."

2. Data Exposure Risks

# AI detects data leaks:
"Data Exposure Review:

  WARNING: Sensitive field in API response
    File: controllers/api.py, line 67
    Code: partner.read(['name', 'email', 'bank_ids',
      'credit_limit', 'property_payment_term_id'])
    Issue: bank_ids exposes customer bank accounts
    in public API response.
    Fix: Remove bank_ids from field list.

  WARNING: Unfiltered search in portal view
    File: controllers/portal.py, line 34
    Issue: Portal user can search all res.partner records
    without company or customer-specific filtering.
    Fix: Add domain filter for current user's company."

Performance Review

3. ORM Anti-Patterns

# AI identifies performance issues:
"Performance Review — custom_inventory module

  SLOW: N+1 query pattern
    File: models/stock_report.py, line 56
    Code:
      for move in stock_moves:  # 500+ records
          product = move.product_id  # query per iteration
          category = product.categ_id  # another query
    Fix: Prefetch with read() or mapped():
      stock_moves.mapped('product_id.categ_id')

  SLOW: Unbounded search
    File: models/analytics.py, line 23
    Code: self.env['sale.order.line'].search([])
    Issue: No limit, no domain. Loads ALL sale order lines.
    Will timeout on databases with 100K+ lines.
    Fix: Add appropriate domain and limit.

  SLOW: Computed field without store=True
    File: models/product_ext.py, line 34
    Field: total_sold (sum of all sale order lines)
    Issue: Recomputed on every access. With 10K products
    on a list view, this means 10K aggregate queries.
    Fix: Add store=True with proper depends."

Code Quality Checks

Odoo-Specific Best Practices

# AI enforces Odoo conventions:
"Best Practice Violations:

  1. Model naming: 'SaleOrderExtension' should be
     'SaleOrder' inheriting 'sale.order' (not new model)

  2. Field naming: 'customerName' should be 'customer_name'
     (Odoo uses snake_case for fields)

  3. Compute method: '_get_total' should be '_compute_total'
     (Odoo convention: _compute_ prefix)

  4. Onchange: Using @api.onchange for validation.
     Use @api.constrains instead for data integrity.

  5. Data files: XML ID 'sale_order_view_1' is not descriptive.
     Use 'view_sale_order_form_custom_discount'

  6. Module structure: Controllers in models/ directory.
     Move to controllers/ directory."

Automated Fix Suggestions

The AI agent does not just identify problems — it provides exact fix code for each issue. Security vulnerabilities come with corrected parameterized queries. Performance anti-patterns come with optimized implementations. Style violations come with reformatted code. Developers review the suggestions and apply them with minimal effort.

Pre-Commit Integration

The AI code review can run as a pre-commit hook or CI pipeline step, catching issues before they merge into the main branch. Every pull request gets an automated review focused on Odoo-specific concerns that human reviewers and generic linters would miss.

DeployMonkey AI Code Review

DeployMonkey's AI agent reviews your Odoo custom module code for security vulnerabilities, performance anti-patterns, ORM best practice violations, and code quality issues. Catch problems before they reach production — with fix suggestions included.