quality-loop

A quality loop automates root-cause analysis by running a multi-phase pipeline that tests user stories, diagnoses root causes, and applies gated fixes through discovery, diagnosis, fix, verify, and reporting phases.

The best way to enforce gated approvals is using a multi-agent pipeline that validates each quality phase before progressing, ensuring cross-functional frontend and backend reviews are completed before code changes are committed.

An automated quality loop diagnoses root causes by orchestrating a multi-agent pipeline across discovery, diagnosis, fix, verify, and reporting phases to generate structured hypotheses and actionable fixes with traceable history.

Yes, you can use a configurable agent-based pipeline to iterate on a single user story, validating each phase before progressing to ensure quality and compliance throughout the software development workflow.

You need a defined skill frontmatter with allowed tools to run an automated quality loop, and you can optionally include resources like scripts, references, or assets to extend the pipeline capabilities as needed.