What problem does it solve?
Records and persists human-validated development session summaries, associated git commit hashes, and workspace index updates into the repository's .trellis workspace so future AI sessions and developers have continuity and searchable session context.
Core Features & Use Cases
- Appends session summaries to journal files and updates index files with session counts and line statistics.
- Collects commit hashes and branch context after the human has tested and committed code, and auto-commits only .trellis metadata.
- Provides task archival utilities to mark truly completed work and maintain developer task indexes for later retrieval.
- Use this when a coding session is finished and you want to preserve the session narrative, changed files list, and references for future automated reasoning or handoff.
Quick Start
Record the completed coding session by running the Trellis Python recording scripts to append a session journal entry, capture commit hashes, update indexes, and auto-commit the .trellis metadata.
