code-scanning

Automate pre-commit code quality checks by running a Bash-based workflow that uses Read and Grep to identify changed files and detect anti-patterns. This process scans recent changes to catch complexity hotspots, secrets, and dead code before they are committed.

Static analysis for dependency auditing scans your Node.js, Python, and Go projects to detect outdated or vulnerable packages. It reviews package manifests to identify dependency problems and security risks across different ecosystems.

Yes, bash grep code scanning works for finding secrets and dead code by applying targeted search patterns across repository files. It detects hardcoded secrets, large files, and unused dead code to maintain code quality and security.

Identify code quality issues in recent file changes by focusing the scan on modified files rather than the entire repository. This approach detects anti-patterns and complexity hotspots efficiently, streamlining your code review process.

Limitations of using bash workflows for static analysis include relying on text pattern matching with Read and Grep rather than deep semantic parsing. This approach is effective for anti-patterns and secrets but may miss complex structural logic flaws.