code-review-memory

You can prevent repeating code review mistakes by storing repo-specific lessons in a memory-backed store that surfaces prior findings at the start of each new review. This ensures historical context is available before evaluating files or modules.

Past code review lessons are surfaced at review kickoff by loading accumulated findings from the memory store. The system automatically presents prior insights before evaluating target files, modules, or pull requests.

Yes, memory-backed code review lessons apply to file-level, module-level, PR reviews, and review tool runs across the entire repository. The system surfaces relevant patterns from accumulated lessons regardless of review scope.

Yes, the code review memory store requires explicit user confirmation before appending new lessons. This governance mechanism ensures only verified review findings are committed to the persistent repository-specific lesson store.

Documenting recurring code review findings per repository is best handled by a memory lifecycle system that accumulates lessons and surfaces them before each review. Lessons are stored at a default path with optional override and require explicit confirmation before committing.

A limitation of automated memory stores for code review lessons is that new entries require explicit user confirmation before appending, preventing autonomous memory updates. Additionally, lessons are repository-specific and do not transfer across different repos.