code-review-auto

Automating an end-to-end code review pipeline involves orchestrating sequential steps from PR preparation to audit-ready reporting. This pipeline coordinates sub-skills for each phase, transferring only artifact summaries to ensure context predictability and deterministic flow.

Orchestrating pull-request preparation requires artifact-limited handoffs that transfer only essential summaries between steps. This approach minimizes context leakage by avoiding embedding artifact content directly in the orchestrator's notes.

Failure handling in an automated code review pipeline stops execution immediately upon any failure. The pipeline reports the failing step and its rationale, ensuring strict error containment and preventing subsequent steps from running on invalid context.

Yes, you can use a sequential pipeline for audit-ready reporting on feature branches. The pipeline enforces single-step flow completion criteria, ensuring that each review phase finishes before the next begins, producing predictable audit trails.

Yes, orchestrating a code review pipeline requires dedicated sub-skills to handle individual steps like intent analysis, criteria checking, and PR body generation. The main orchestrator coordinates these sub-skills sequentially without processing artifact content directly.

Artifact-only context transfer limits the pipeline by restricting direct access to full artifact content during handoffs. This approach ensures deterministic flow but requires each sub-skill to independently parse essential summaries rather than relying on shared contextual memory.