feedback-loop

To stop repeated coding errors, you can capture recurring error patterns and write them as concise guardrail rules directly into your project's CLAUDE.md file. This ensures future interactions avoid the same mistakes.

The best way to update CLAUDE.md rules is to follow a four-step workflow: identify the recurring error pattern, choose the storage location, write a concise corrective rule, and verify the change works in future interactions.

You can apply AI guardrails at both the project level by updating CLAUDE.md, or globally by adding rules to global rule sets. This allows you to prevent repeated mistakes across individual projects or entire teams.

Detecting error patterns improves AI documentation by turning recurring mistakes into explicit, written rules. These rules are added to CLAUDE.md, providing clear guardrails that guide future AI behavior and prevent identical errors.

You should add a rule to CLAUDE.md when you identify a pattern of repeated errors rather than an isolated mistake. Documenting it as a permanent rule prevents the AI from making the same error in future interactions.