Quality Gate Repair
This loop helps automate the process of fixing code quality issues. It runs a quality gate check, identifies failures, and applies targeted fixes until the gate turns green. Ideal for maintaining code health in CI/CD pipelines or pre-commit hooks.
Goal
Pass quality checks
How to Run
Automates code quality fixes through iterative review and correction
- 01
Start Loop
Initialize the Quality Gate Repair loop to begin automated quality fixes
- 02
Run Quality Gate
Execute the quality gate check command to identify current issues
- 03
Analyze Failures
Review and understand quality gate failure details
- 04
Apply Fixes
Make necessary code corrections based on identified issues
- 05
Re-run Check
Repeat quality gate validation to confirm fix effectiveness
Workflow Steps
- 01
Initial Assessment
Run quality gate check and capture initial failure state
- 02
Issue Identification
Parse quality gate output to determine specific code violations
- 03
Code Remediation
Apply targeted fixes to address identified quality issues
- 04
Validation
Re-run quality gate to verify fixes and check exit condition
- 05
Iteration Control
Continue loop until gate passes or max iterations reached
Kickoff Prompt
Start the "Quality Gate Repair" loop. Goal: Pass quality checks Max iterations: 10 Between iterations run: quality gate Exit when: Gate green Begin the Quality Gate Repair loop. First, run the quality gate check command. If it fails, analyze the output to identify specific issues. Apply minimal, focused fixes to address those issues. After each fix, re-run the check to validate progress. Stop when the quality gate turns green or after 10 iterations. Self-pace this loop. After each iteration, run `quality gate` and evaluate the output, and only continue if the exit condition is not met (Gate green). Stop when the exit condition passes or 10 iterations are reached. Give a short status update each pass.
Guardrails
hardcoded- ·Only modify files that are failing quality checks
- ·Maintain existing code functionality while applying fixes
- ·Do not exceed 10 iterations to prevent infinite loops
- ·Document all changes made during the repair process
- ·Respect .gitignore and exclude files from fixes if specified
Flow Diagram
Related loops — Quality
Quality
Dead Code Eliminator
Automatically identifies and removes unused code to improve codebase quality and maintainability. This loop performs iterative scans for dead code, removes it gradually, and ensures no regressions are introduced.
Quality
Lint Until Clean
Automatically iterates through lint error detection and resolution until the codebase passes linting with zero issues. This loop ensures code quality and consistency by having the agent fix problems as they are identified.
Quality
Refactor Safely
This loop systematically refactors your codebase to improve structure while maintaining test coverage. The agent identifies opportunities for cleaner code without breaking existing functionality.