Validate AI-generated code by reviewing the diff, running tests, checking edge cases, scanning for security issues, and confirming that the change matches the original requirement. Do not judge AI code only by whether it looks plausible.
A good validation workflow has several layers. Run unit tests and type checks. Run the app or affected workflow if possible. Inspect dependencies, error handling, and data changes. Compare the final diff against the plan. If the task touches production-sensitive code, require human review before merging.
Verdent supports this validation mindset by keeping work planned and reviewable. Plan Mode clarifies the intended change, workspace isolation contains the implementation, and parallel work can be reviewed one task at a time. The safest AI-generated code is not the fastest output. It is the output that survives checks, review, and integration.
