English

A multi-language code cleanup tool that analyzes, formats, and refactors code bases to remove dead imports and enforce consistent styling.

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2,248+
Total Calculations Run
< 15ms
Browser Execution Speed
100%
Client-Side Privacy
4.9 / 5.0
User Satisfaction

Worked Example & Common Values

Below is a sample worked calculation demonstrating how English processes input data instantly inside your browser.

Sample Input Minified string: {"id":1,"status":"active","roles":["admin"]}
Computed Result { "id": 1, "status": "active", "roles": [ "admin" ] }
Execution Mode Client-Side In-Browser JS
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About This Tool

Code Clean Up Tool performs language-aware analysis to identify opportunities for reducing complexity and improving consistency. It targets common issues such as unused imports, dead code, inconsistent indentation, trailing whitespace, and mixed formatting. The tool supports multiple programming languages and is suitable for individual developers, code maintainers, and CI pipelines preparing pull requests. By providing deterministic transformations and a clear report, it helps teams raise baseline quality before reviews or deployments.
Conceptually, the tool parses source files into structured representations (AST or equivalent), applies a rule set, and emits a cleaned version of the code along with a patch and a summary. Transformations are designed to be idempotent and reversible, enabling safe re-runs. Core workflow components include a language-aware formatter, an import/usage cleanup pass, and a diff generator that highlights changes without executing code.
Beneficiaries include developers seeking faster PR cycles, build systems enforcing consistency, and code bases with large backlogs of technical debt. The tool excels in multi-language codebases, supports per-language style guides, and can integrate with CI systems to fail builds when changes exceed thresholds. It produces ready-to-commit diffs and can be configured to run in dry-run mode for auditing.
Unique value lies in its combination of multi-language support, structured outputs, and explicit change reports rather than silent edits. Key features include language-agnostic cleanup passes, configurable rule sets, patch export, and batch processing. Typical use cases include pre-PR cleanup, standardization after migrations, and periodic maintenance sprints to improve readability and maintainability.

How to Use

  1. Provide inputs: code text or repository path, language, and optional cleanup_strategy.
  2. Configure rules or use the default standardization profile.
  3. Run cleanup to generate cleaned_code, diff, and report.
  4. Review outputs and apply patches or commit changes.
  5. Integrate into CI or pre-commit workflow.
How to use code clean up tool

Frequently Asked Questions

Find Quick Answers

Which languages are supported?
Supports JavaScript/TypeScript, Python, Java, C#, Go, and more. It uses language-specific rule sets and formatters; if a language is not yet supported, the tool reports it and provides a structured summary of attempted changes.
Can it run in CI/CD pipelines?
Yes. It can emit per-file diffs and a summary report, and it can fail builds if changes exceed configured thresholds or if critical cleanup issues occur, enabling automated enforcement of code standards.
How safe are automatic changes?
By default, a dry-run mode is available. Transformations are idempotent and designed to be reversible; users review diffs and can opt to commit changes or revert as needed.
What outputs are produced?
Outputs include cleaned code text, per-file diffs, and a structured report with counts of changes, touched files, and summary metrics suitable for PRs and audits.

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