audit-code-quality

Detect bare except and broad exception handling by running an automated audit script that scans your Python repository for fail-fast violations. The script identifies anti-patterns like silent error swallowing and outputs a structured report listing issues by category and location.

A fail-fast code-quality audit is an automated scan that surfaces hidden failures and error-handling weaknesses in a codebase. You need to run it during code reviews, before merging large feature branches, or within CI pipelines to maintain code health and reliability.

Integrate static analysis for error-handling anti-patterns into CI pipelines by running the configurable audit script as a pre-commit check or pipeline step. It scans for fail-fast violations and generates a structured output with recommended fixes to prevent merging weak error-handling code.

Yes, the repository audit tool works across Python projects and other languages. It uses grep-based static analysis to target common anti-patterns like continue on error and broad exception handling, making it suitable for detecting fail-fast violations across diverse codebases.

The best way to identify silent error paths and swallowed exceptions before a merge is to run an automated audit that scans for fail-fast violations. It detects avoidable defects where errors are hidden behind silent paths and provides actionable guidance for remediation.

Yes, you can use grep-based static analysis to find continue on error patterns in bash scripts and other code. The audit script scans the repository for these fail-fast anti-patterns and generates a structured report detailing the issues and recommended fixes.