beads-knowledge

You document solved debugging problems as structured JSONL entries and bead comments in a central knowledge store. This captures solutions for fast recall and provides traceability back to specific work items using the beads toolchain for timestamping and search.

The best way to categorize development knowledge for targeted recall is using specific prefixes like LEARNED, DECISION, FACT, PATTERN, and INVESTIGATION. This categorization structures insights in the JSONL store, supporting advanced search and quick retrieval across sessions.

Logging bead comments provides traceability by linking the captured knowledge entries back to specific work items and beads. The beads toolchain timestamps these entries, ensuring that every documented solution in the JSONL file can be traced to its original context.

Yes, you need the beads toolchain to store JSONL knowledge entries effectively. The workflow relies on the bd tool and a linked bead to timestamp entries, add comments, and enable the search functionality required for fast recall.

Yes, you can append investigation notes to an existing JSONL knowledge store. The workflow categorizes insights using the INVESTIGATION prefix, appending these structured entries to the knowledge.jsonl file to support targeted recall and traceability.

You should not use a JSONL file for knowledge recall if your workflow lacks the beads toolchain. The recall workflow relies on the bd tool and linked beads to timestamp entries and search the store, meaning the structured file alone cannot enable traceability.