doit.reviewit

Automate code reviews against specifications by loading project context and cross-referencing the current implementation with formal spec, plan, and task documents. This generates a structured findings report that identifies requirement violations, coverage gaps, and improvement opportunities.

Cross-referencing implementation against formal specifications is the process of validating code quality and completeness by checking active feature work. It enforces safety by verifying architecture decisions, data models, and API contracts against documented requirements.

Generate a structured findings report by running a guided code-review pass that compares implementation to specs. The output categorizes issues into critical, major, and minor levels, while suggesting optional manual tests to validate coverage.

Yes, automated code review can validate architecture decisions, data models, and API contracts where available. It targets feature work in active repositories and uses specification documents to enforce safety and traceability to requirements.

The best way to ensure new code aligns with acceptance criteria is to automate cross-checks between implemented features and plan documents. This eliminates manual traceability struggles by outputting a findings report that highlights gaps and violations.

Automated code review does not replace manual testing but supplements it by identifying gaps in test coverage and traceability. It outputs optional manual test guidance alongside structured findings to help validate coverage for ongoing projects.