trellis-check

Pre-commit code quality verification inspects changed files, reads applicable project specifications, and runs lint, type-check, and test commands to detect implementation defects and specification drift before changes ship.

Cross-layer validation traces data flow, validates imports and dependencies, and checks consistency across application layers to detect context drift and integration errors across packages before release.

Pre-commit review for feature implementations and bug fixes applies comprehensive verification by inspecting changed files, running lint and type-check commands, and validating cross-layer data flow and reuse against project specifications.

Pre-commit code review identifies missing regression tests, specification updates, type issues, and integration errors by inspecting changed files and validating them against applicable project specifications and quality requirements.

Cross-layer data flow validation traces dependencies, validates imports, and checks consistency across application layers by inspecting changed files and running applicable project checks before code is committed.

Automated code quality checks should be used for pre-commit reviews, feature implementations, and bug fixes to catch implementation defects, incomplete tests, and specification drift that manual review might miss before changes ship.