AI-powered repository auditing that analyzes architecture, maintainability, security, technical debt and code quality.
Five simple phases to transform raw source code into high-level enterprise intelligence.
Provide a public GitHub repository link to fetch and target source files.
AST parsing extracts components, dependencies, functions and classes.
Agentic models evaluate context, logic, security holes and code quality.
Receive a comprehensive report with a granular metrics breakdown.
Direct remediation and design steps to scale quality and eliminate technical debt.
RepoInspect does not just scan code; it understands your system's design, security posture, and lifecycle.
Detects prompt injections, secrets exposure, RCE injection paths, and vulnerable third-party modules.
Analyzes layers, class inheritance, structural design patterns, and cross-module boundaries.
Pinpoints Vector DB bottlenecks, event-loop blocking synchronous methods, and memory hotspots.
Formulates remediation steps, difficulty scores, and technical debt recovery estimates.
Checks docstring coverage, complexity metrics, duplicate code blocks, and testability indicators.
Traditional static analysis flags variables blindly. RepoInspect's AST-aware taint maps and LLM self-correction logic work together to deliver actionable results.
Rather than evaluating pull requests in isolation, RepoInspect audits your entire repository's architecture to prevent system-wide issues.
Get a C-Suite executive summary combined with deep AST tracing.
Overall rank: Excellent (Top 10%)
Tainted parameter flows directly to evaluation sink without validation.
Dependencies refer to deprecated libraries in package setup.
No credit card required to audit your public projects. Simple local deployment options.
Everything you need to know about the RepoInspect security and analysis parameters.
Paste your repository link below and start auditing code in real-time.
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