decision-journal

To capture and structure development decisions from git diffs, you can use a structured decision journal that parses completed diffs and issue context to generate machine-parseable entries documenting rationale. This enables post-hoc review and traceability for AI-driven workflows.

A decision journal in AI-driven git workflows is a structured log that persists significant development decisions extracted from diffs and issue context. It detects gate triggers for high-stakes changes, enabling explicit human review and generating concise PR summaries.

You generate PR summaries that document rationale by logging decisions through workflow modes like init and summarize, which extract structured entries from completed diffs and issue context to create concise, PR-body ready documentation.

Yes, you can detect gate triggers for high-stakes code changes automatically by applying a decision journal to your AI-driven git workflow, which identifies significant modifications from diffs and logs them explicitly for human review.

Decision logging works across standard AI-driven git workflows including gh-start, gh-commit, and gh-address, applying mode routing to extract decisions from diffs and issue context during PR generation.

You need structured decision logging for your codebase when executing AI-driven git workflows that require post-hoc review, gate detection for high-stakes changes, and machine-parseable traceability of development rationale.