amia-github-pr-workflow

AI orchestration coordinates GitHub PR reviews by spawning subagents for code review, code changes, and CI verification, then polling PR status until all completion criteria are verified before merging. This prevents blocking work and ensures timely, safe merge decisions.

Multi-agent PR workflow delegation assigns specialized subagents to handle distinct pull request tasks like code review, code changes, and CI verification. It uses deterministic delegation and polling to ensure non-blocking progress until all completion criteria are verified before a merge.

Automate CI verification before merging a GitHub PR by delegating the task to a specialized subagent that polls PR status, checks all completion criteria, and verifies successful CI runs. This prevents blocking work and ensures only verified PRs are merged.

Yes, this PR workflow approach includes explicit human-vs-ai handling rules to determine how review tasks are delegated and verified. It ensures deterministic delegation while maintaining non-blocking progress via polling until all completion criteria are satisfied.

The best way to prevent blocking work during code reviews is to use a polling-based orchestration model that delegates tasks to subagents and monitors progress asynchronously. This verifies completion criteria without halting other PR workflow tasks.

No specific dependencies are required to orchestrate multi-agent PR workflows, as the skill operates independently using its internal scripts and references. You only need a GitHub repository with open pull requests to start spawning subagents and monitoring progress.