GSD Verifier

You can verify code quality in an agile development process by validating implemented work against specification requirements using empirical evidence. This detects missing functionality, placeholder stubs, and incomplete implementations to ensure all must-haves are met.

Empirical validation in software testing confirms that code functions as intended, artifacts are substantive, and connections are wired correctly. It works by analyzing project documents to produce structured findings that prove claims with concrete evidence.

To validate completed features against a project plan and roadmap, analyze PLAN.md, SUMMARY.md, ROADMAP.md, and VERIFICATION.md files. This cross-referencing produces a VERIFICATION.md output identifying gaps between specified requirements and actual implementation.

Automated code verification works without external dependencies by analyzing internal project documentation and codebase artifacts. It requires no additional packages, relying solely on structured files like PLAN.md and SUMMARY.md to generate validation findings.

Your verification process fails to detect incomplete implementations if it lacks rigorous empirical evidence checking. Without analyzing specification requirements against actual code artifacts, placeholder stubs and missing API connections remain undetected during validation.

The best way to prevent accepting placeholder code is to rigorously verify work with empirical evidence. Validating that artifacts are substantive and API calls are functional ensures no stubs or incomplete solutions pass the verification phase.