code-quality-fix-all

Automate code quality fixes by orchestrating an end-to-end workflow that reads review results, plans changes, validates with tests and linting, applies fixes on a dedicated branch, and documents outcomes for pull request preparation.

A validation-driven workflow for lint and code review issues enforces multi-phase execution: planning fixes, running lightweight tests and linting to validate changes, applying them on a dedicated branch, and performing a re-review before finalizing outcomes.

Apply topic-scoped code fixes by targeting the agent_artefacts/code_quality/<topic> directory, reading results.json and README.md to plan fixes, validating changes with lightweight tests and linting, and applying them on a dedicated branch using standard Python tooling.

Yes, you need standard Python tooling and the repository's uv-based workflow to orchestrate code quality fixes, as the workflow requires validating changes with lightweight tests and linting before applying them on a dedicated branch.

Systematically resolve multiple code-quality review issues by orchestrating an end-to-end fix workflow that plans, validates, and applies changes on a dedicated branch, reducing manual back-and-forth and ensuring consistent validation across changes.

Automated code quality fix orchestration is limited to topic folders under agent_artefacts/code_quality/<topic> and requires pre-existing results.json and README.md files to plan fixes, meaning it cannot operate without a prior topic-specific code-quality review.