AI-generated code should pass the same engineering standards as code written by a developer. A convincing explanation or successful compilation does not guarantee correctness, security, or maintainability.
Review the Diff
Understand every modified file. Look for unrelated refactoring, unexpected dependency changes, and changes to configuration or generated artifacts.
Check Data Validation
Ensure untrusted input is validated on the server and that database operations handle invalid or unexpected states.
Audit Authorization
Verify that each protected operation checks the correct user, role, workspace, and resource permissions. Test attempts to access resources belonging to another tenant.
Examine Error Handling
Review behavior when external services fail, sessions expire, records are missing, or requests are repeated.
Run Automated Tests
Execute the existing test suite and add targeted tests for the new behavior. Include negative cases and important regressions.
Validate Deployment
Review migrations, environment variables, secrets handling, and compatibility with the production environment.
Conclusion
AI-generated code becomes useful production software through review, testing, and operational validation.
A structured foundation with consistent conventions can make these tasks easier. Agentium Start provides an existing B2B SaaS codebase and development recipes intended to support controlled customization.