pattern-recognition

To detect convention drift, you define deterministic grep audits, scan and count matches, sample results, classify violations, and triage findings. This define-to-triage workflow minimizes false positives and turns recurring structural problems into durable automated checks that prevent repeat regressions.

Yes, you can enforce design-token and heading hierarchy invariants using grep-based audits combined with an eval-as-pattern-test step. This approach detects structural drift in design systems deterministically, ensuring violations are caught by automated checks before reaching production.

The best way to cluster recurring failures is normalize-then-hash error clustering, which groups tool failures, type errors, and runtime crashes by their normalized signatures. This deterministic method prevents false positives and reveals the true root cause behind repeated regressions.

Board-health pattern detection identifies stale tasks, WIP overflow, priority drift, duplicates, and orphans by applying deterministic scanning to board states. This process-oriented prevention guidance codifies detection so workflow violations are automatically flagged and prevented.

Grep audits require a three-pass strategy of discovery, refinement, and verification to minimize false positives. Without deterministic detection methods and an eval-as-pattern-test step before relying on automation, grep-based pattern detection risks surfacing inaccurate structural violations.