code-memory-updater

To keep CLAUDE.md memory updated after codebase changes, you can run an automated updater that analyzes diffs and appends concise notes about new patterns, conventions, and decision rationales for future reference.

Diff analysis captures institutional knowledge by examining touched modules to document architectural decisions and coding conventions, selectively recording only meaningful changes to preserve context without bloating the memory file.

The best way to document refactoring decisions in CLAUDE.md is using a section-based updater that generates review-friendly notes from code diffs, capturing the rationale behind architectural changes while avoiding redundant entries.

Yes, you can selectively update CLAUDE.md memory for specific modules. The updater scopes its analysis to relevant touched files, ensuring the memory file stays lean and only reflects changes in the modules you actually modified.

You need to update CLAUDE.md memory after significant code modifications such as feature additions, refactors, or architectural changes, ensuring that meaningful patterns and conventions are captured for future teams.

To avoid redundant documentation when updating CLAUDE.md, use an updater that applies selective diff analysis and section-based memory updates, ensuring only concise, review-friendly notes are appended without duplicating existing knowledge.