Code Repository Analysis

Achieve 95%+ confidence by analyzing your code repository for churn, hotspots, and AI-generated patterns. This combines conversation + PM data + code metrics for complete validation.

Stage 1
65-85%
Conversation
Stage 2
85-90%
+ PM Analysis
Stage 3
95%+
+ Code Analysis

Code Churn

Measure how often code is rewritten, indicating quality issues or unclear requirements

Hotspot Detection

Identify files with high change frequency that may be fragile or over-complex

AI Pattern Analysis

Detect AI-generated code patterns and correlate with bug rates and technical debt

GitHub

Analyze your GitHub repositories

GitLab

Connect your GitLab projects

Coming Soon

Bitbucket

Analyze Bitbucket repositories

Coming Soon

Why Code Analysis Matters

Three-source validation: Conversation insights + PM metrics + code data creates the most accurate picture of AI's impact on your development process.

Uncover hidden patterns: Code churn and hotspot analysis reveal quality issues that don't show up in PM tools or conversations.

Quantify technical debt: See exactly how much AI-generated code is contributing to maintainability challenges.

File-level insights: Identify specific files, modules, and patterns that need attention - not just project-level averages.

Your Code is Secure

  • Read-only access (we never modify your code)
  • Metadata only - we don't store your source code
  • Analysis completes in 2-4 hours depending on repository size
  • Tokens auto-revoked after 72 hours