sagerstack:code-qa

Automating code quality checks against acceptance criteria requires running a comprehensive validation pipeline. This skill verifies every user story AC by executing automated tests, coverage analysis, linting, security scanning, and Docker builds to ensure feature robustness.

Mapping test failures to implementation tasks is achieved by linking pipeline errors back to specific development plan items. This skill identifies failures during quality checks and UAT execution, then maps them to precise tasks for targeted remediation.

Yes, this CI/CD validation tool supports Docker builds and UAT execution. The comprehensive quality pipeline includes Docker build checks and performs User Acceptance Testing via Docker or local processes to validate feature readiness.

An automated code quality assurance pipeline includes a 9-check validation sequence. This skill runs tests, coverage analysis, linting, security scanning, and Docker builds, conducting UAT to verify code correctness and generate detailed QA reports.

Acceptance criteria-driven validation is needed after a developer implements a new feature. Running this validation ensures the implemented code meets all user story requirements, passes security and quality checks, and achieves readiness before integration.