Code Analysis Tool

A developer-focused tool that analyzes code for quality and complexity, helping engineers quickly identify hotspots and improve maintainability.

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About This Tool

Purpose-built for developers and engineering teams, this tool analyzes source code to quantify quality and complexity. It interprets code structure, dependencies, and density of comments to generate a holistic health score. Conceptually, it treats code as a graph of paths, where high cognitive complexity or dense duplication indicate risk and maintenance cost. The tool then presents per-file and per-module metrics, enabling targeted refactors. Unique value arises from combining language-aware rules with a transparent scoring model, plus exportable reports for audits and CI governance. Use cases include pre-merge quality checks, technical debt tracking across sprints, and onboarding new engineers by highlighting critical areas. Core features include language profiles, a composite score, breakdowns by complexity, duplication, and readability, and hotspots that point to specific lines or files. This helps teams prioritize changes, measure improvement over time, and communicate health status to stakeholders. The solution is designed to be language-agnostic while respecting language-specific patterns to avoid false positives. Results can guide architectural decisions, test coverage improvements, and documentation updates, contributing to more maintainable codebases and faster iteration cycles.

How to Use

  1. Provide inputs: paste your code snippet and select the primary language.
  2. Configure thresholds (optional): set max_complexity or enable additional checks.
  3. Run analysis: trigger calculation to generate scores and metrics.
  4. Review outputs: inspect overall score, per-file metrics, and hotspots.
  5. Export or share: download report in JSON or human-readable format for reviews or CI.
How to use code blue tool

Frequently Asked Questions

Find Quick Answers

What does the overall score indicate?
The score aggregates complexity, duplication, and readability into a single numeric value from 0 to 100, where a higher score indicates healthier code. The breakdown explains which areas drive the score.
Which languages are supported?
The tool uses language profiles to apply appropriate rules for popular languages. If a language lacks a profile, it performs token-level checks and provides a conservative score with caveats.
Can results be exported?
Yes, results can be exported as JSON or as a formatted report suitable for code reviews, documentation, or CI dashboards.
Is it suitable for CI use?
Yes, the tool exposes an API and CLI interface for integration into CI pipelines to enforce quality gates on pushes or pull requests.

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