automated-debugging

Automated debugging detects errors across logs and code, diagnoses root causes, and applies fixes automatically. This Skill orchestrates error detection, diagnosis, and patches through integration with tools like Ruff, Black, and MyPy, operating across development pipelines, CI/CD, and production monitoring.

Yes. This Skill applies automatic fixes with quality gates throughout CI/CD workflows. It detects errors, classifies them, proposes patches, and auto-applies corrections while evaluating results against trinity score thresholds.

The Skill integrates with Ruff for linting, Black for code formatting, MyPy for type checking, and AI analysis. These tools work together to detect errors, propose fixes, and validate patches end-to-end.

Yes. Automated debugging operates across development, CI/CD, and production environments. It detects errors in logs and code, identifies root causes quickly, and proposes fixes applicable to production monitoring workflows.

Call the pipeline with your logs data: `result = await debugger.run_pipeline(logs=logs_data)`. The pipeline automates error detection, diagnosis, and fix application end-to-end with built-in quality gates.

Fixes are validated through trinity score evaluation, which assesses patch quality before and after application. Results include error classification, proposed solutions, and validation metrics.