ai_driven_dev_v2

Prepare, publish, verify, and record AIDD Python package releases through this repository's release/v<version> branch and GitHub Release published-event flow; use when cutting a new prerelease or release, running release dry-runs, checking PyPI/pipx/uv tool evidence, or performing post-release version-bump follow-up.

Run or prepare a manual full-flow live end-to-end scenario against a public GitHub repository with repository pinning, authored task selection, execution evidence capture, and manual post-run quality reporting.

Run harness and eval scenarios for ai_driven_dev_v2, validate document-first stage outputs, preserve runtime logs, analyze failures, and produce durable audit artifacts for deterministic and manual-live lanes.

Select, split, create, promote, and close roadmap tasks while keeping `roadmap.md` and `backlog.md` synchronized.

Map a task to the right AIDD docs, modules, checks, and scenario assets before making changes.

Analyze runtime and adapter logs to identify the first decisive failure signal and classify it correctly.

Make a safe change to a stage or document contract by updating contracts, validators, prompts, and scenarios together.

Turn a coarse roadmap item into reviewable local tasks with one output, one dominant touched area, and one main verification signal.

Check whether a proposed change still fits the main AIDD user stories and update product docs when scope changes.