slop-fix

Automated static analysis remediation applies low-risk refactors like removing unused imports, deleting unreferenced code blocks, and clarifying local variable names. It parses analysis reports, filters for safe auto-fixable issues, and applies changes through a validated, testable workflow with atomic git commits.

The best way to automate safe refactors from a scan report is a stepwise process: parse the report, filter auto-fixable issues, run tests, apply changes, commit, and report. This ensures only low-risk refactors like extracting duplicate code to helper functions are applied with validations.

Yes, automated code remediation runs tests before committing refactored changes. The workflow executes a safe, testable process that validates changes through test execution and performs atomic git commits only after validations pass, reducing the risk of introducing human error.

Yes, you can use automated refactoring to add missing docstrings and rename local variables. The remediation process specifically targets these safe, low-risk refactors identified in scan reports, applying them systematically to reduce manual debugging time.

You should avoid auto-fixing slop issues that require complex logic changes or carry high regression risk. The automated remediation process is designed exclusively for safe, low-risk fixes like removing empty files, unreferenced code, and unused imports, filtering out non-auto-fixable issues.

Yes, you need a slop-scan report before running slop-fix. The auto-fix remediation process parses existing scan reports to filter and apply safe, low-risk refactors, meaning it operates exclusively on issues detected and documented by the scanning phase.