followup-documentation

To keep documentation in sync after code changes, you can evaluate the impact of recent updates on files like CLAUDE.md and determine if modifications are necessary to prevent AI context errors.

You need to update CLAUDE.md when code changes introduce new behaviors that would cause AI models to fail without accurate context, prioritizing critical updates over excessive documentation.

Auditing code changes for documentation updates involves performing static analysis on recent modifications to determine if rules or skills require updates to maintain AI accuracy.

Updating rules and skills applies a strict brevity constraint, ensuring that documentation additions are limited to information that is absolutely critical for preventing AI errors.

The best way to prevent outdated AI context is to evaluate code changes against existing documentation, focusing on static analysis and common sense rather than generating excessive documentation.