capturing-session-knowledge

To capture session learnings, you can use a knowledge management process that summarizes actionable insights and persists them to a project learnings file. This prevents future AI agents from repeating the same errors.

Documenting project learnings involves summarizing session insights and saving them to a shared markdown file. This creates a persistent knowledge base that improves onboarding for new team members by providing project-specific patterns.

Knowledge management for AI agents works by distilling session context into concise insights and writing them to a designated project learnings document. This persisted knowledge then guides future runs across multiple sessions.

Capturing session learnings requires no external inputs beyond the current session context. It automatically extracts project learnings and updates the designated markdown documentation file without additional configuration.

Summarized project learnings are stored in docs/ai/project-learnings.md. Writing to this designated markdown file ensures the knowledge persists across sessions and remains accessible for future agent runs and onboarding.