AI Technical Debt Analyzer
Connect your GitHub repo and get an AI-powered technical debt report: code smell detection, dependency risk analysis, and prioritized refactoring recommendations with effort estimates.
What it does
Technical debt analysis is a strong AI use case. Code parsing and pattern detection (code smells, duplication) are deterministic tasks AI can assist with. GitHub API integration is well-documented. The main challenge is language-agnostic analysis, but starting with JavaScript/TypeScript or Python is very achievable.
Technical debt analysis is a strong AI use case. Code parsing and pattern detection (code smells, duplication) are deterministic tasks AI can assist with. GitHub API integration is well-documented. The main challenge is language-agnostic analysis, but starting with JavaScript/TypeScript or Python is very achievable.
Build prompt
Build an AI technical debt analyzer that connects to a GitHub repository. The app scans the codebase and generates a debt report including: code smell detection (long functions, duplicated code, complex conditionals), outdated dependency alerts with security risk levels, test coverage gaps, and AI-generated refactoring recommendations ranked by impact vs effort. Include a dashboard with debt score over time, file-by-file breakdown, and exportable PDF reports for stakeholder communication.
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