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The Problem

Engineering teams inherit legacy systems with no documentation, no owner context, and no safe entry point for change. Onboarding takes months. AI assistants make it worse — they hallucinate structure that doesn’t exist.

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What It Does

Ingests an unfamiliar codebase and produces grounded intelligence:
  • Structured CODE_MAP — modules, dependencies, entry points
  • Dependency graph — what calls what
  • Dead code report — symbols with no callers
  • Context-aware Q&A grounded in real symbols and file relationships

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Try It

activate nablr
Set agent to discovery. Scan this codebase and generate a CODE_MAP
For a legacy system with no docs: 
Set agent to discovery. Initialize this project — generate codemap, architecture doc, and feature list
Q&A after scan: 
Where is the authentication logic?
What calls the payment processor?
Which modules have the highest coupling?

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Expected Output

  • codemap/CODE_MAP.md — structured map of the codebase
  • docs/ARCHITECTURE.md — inferred architecture overview
  • FEATURES.md — feature list derived from code
  • Dead code report — safe-to-delete candidates

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Who This Is For

  • Engineering leads inheriting unknown systems
  • Agencies conducting technical due diligence
  • M&A technical audits
  • New CTOs assessing inherited platforms
Code-to-Clarity runs on free tier. No trial or subscription required to generate a CODE_MAP.