validate_plan

To verify code implementation against a predefined plan, you can use automated validation to compare implemented code against specifications, run tests, and analyze git logs to identify deviations. This ensures adherence to success criteria.

Checking if your feature implementation meets success criteria involves running automated verification that assesses manual criteria, executes tests, and highlights discrepancies. This early detection prevents implementation flaws from escalating.

Yes, you can use git log analysis to detect deviations from your development plan. Automated validation scopes include analyzing commit history to verify code correctness and ensure the implementation accurately reflects the original specifications.

Automated plan verification for code review works by comparing the implemented code against a defined plan, running test executions, and generating a report that highlights discrepancies or areas needing further attention to ensure correctness.

Yes, you need to provide a predefined plan to run implementation validation. The process specifically validates code against your defined specifications and success criteria to identify any deviations or issues before they become problems.

Your code implementation fails the plan adherence check when automated verification detects deviations from the predefined plan, unmet success criteria, or errors during test execution, generating a report highlighting these discrepancies.