trellis-check

Automate pre-commit code quality checks by running a comprehensive verification workflow that enforces lint, type-check, test execution, and spec alignment on recently written code. This structured approach catches issues early before they propagate downstream.

Cross-layer data flow verification ensures consistency across storage, service, API, and UI boundaries. You need this when changes span multiple packages or layers, preventing data drift and reducing manual review overhead during long-running sessions.

Verify code changes against specs automatically by executing a workflow that combines spec compliance checks, linting, type-checking, and unit tests. It provides guidance to update specs when needed, reducing drift and minimizing manual review effort.

Yes, you can run lint and type-check across packages or layers during long-running sessions. The workflow applies comprehensive quality verification to code changes, ensuring safety and consistency throughout extended development periods.

Yes, pre-commit spec compliance checking integrates with cross-layer data flow validation. The workflow enforces spec alignment, linting, type checking, and test execution while verifying data consistency between storage, service, API, and UI boundaries.

You need to update specs when automated code quality checks detect misalignment between recently written code and existing specifications. The workflow provides guidance on spec updates to maintain consistency, reduce drift, and ensure ongoing spec compliance.