Plannotator lets agents read local feedback
Plannotator, an interactive plan and code review tool for AI coding agents, now allows users to compound agent intelligence by sharing their historical feedback. By directing agents to read the review drafts locally saved on disk in the ~/.plannotator/drafts/ directory, users can help agents align with their specific preferences, coding standards, and past reviews.
Local feedback storage combined with direct agent file access is a simple yet incredibly elegant way to solve the personalization problem without relying on complex custom fine-tuning or proprietary cloud-based vector databases.
- –Keeps user review feedback fully local and private, avoiding cloud leakage of intellectual property.
- –Provides a seamless context window enhancement by allowing agents to ingest concrete examples of user edits and preferences.
- –Eliminates the friction of setting up memory systems by leveraging simple, existing file system pathways.
DISCOVERED
2d ago
2026-06-19
PUBLISHED
2d ago
2026-06-18
RELEVANCE
AUTHOR
plannotator