Code Visibility
Turn complex codebases into an interactive “Code City” where structure, size, and risk become immediately visible.
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LegacyLens - GitHub repository analyzer
AI-powered platform for analyzing code quality and technical debt across entire GitHub repositories. It combines AST-based metrics, explainable risk scoring, and an interactive “Code City” visualization to help developers quickly identify high-risk areas and architectural hotspots.
GitHubAIDeveloper ToolsCode AnalysisVisualizationArchitectureTypeScriptPythonPOSTGRESQL
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A look at the project in real use.
Value
What the project delivers
Risk Awareness
Identify high-risk files and modules using a multi-factor scoring model (complexity, size, change patterns).
Explainability
Understand why something is risky through weighted breakdowns and AI-generated insights.
Scalable Analysis
Handle large repositories with adaptive aggregation and focused exploration modes.
Audience
Who it’s for
Engineering teams working with large or legacy codebases
Developers performing refactoring or system audits
Tech leads evaluating architectural risk
Teams building or maintaining modular / monorepo systems
Want to explore your codebase visually?
Analyze your repository and uncover hidden complexity and risk patterns.