RAZE Debug Mentor

RAZE Debug Mentor runs Python code, captures real runtime evidence, uses AI to find the root cause, explains the failure, and provides fixes developers can verify.

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The Story Behind RAZE

RAZE Debug Mentor started with a simple realization: AI can generate code quickly, but debugging that code is where the real work begins.

While building with AI, I experienced the familiar cycle:

Generate → Run → Error → Ask AI → Fix → New Error → Repeat

The problem wasn't just getting an error message. The bigger problem was that AI could sometimes guess why the code failed without actually looking at what happened during execution.

So I built RAZE Debug Mentor around one principle:

Debug with evidence, not guesses.

🔍 How RAZE Works

RAZE takes a Python program and:

  1. Executes the code
  2. Captures the actual runtime output and traceback
  3. Uses AI to analyze the execution evidence
  4. Identifies the likely root cause
  5. Explains why the failure happened
  6. Provides corrected code
  7. Helps verify the fix through testing

This makes the debugging process more transparent and useful, especially for developers and learners who want to understand why their code failed instead of simply copying an AI-generated fix.

🤖 AI + Evidence

RAZE uses AI providers such as Gemini, OpenRouter, and Groq, with provider failover to keep the experience resilient.

The important part is that AI isn't treated as an oracle. Runtime evidence comes first. The traceback and execution results give the AI concrete information to reason from.

When an AI provider is unavailable, RAZE can also fall back to deterministic analysis for common Python errors.

🛠️ Building RAZE

The project itself became a debugging lesson.

What I initially expected to be:

Generate → Run → Done

quickly became:

Generate → Run → Error → Fix → Test → New Error → Repeat

That process forced me to test the backend, improve the UI, handle edge cases, add provider failover, and build regression tests instead of assuming that generated code would simply work.

The biggest lesson was simple:

AI can accelerate building, but reliable software still requires testing, debugging, and verification.

🚀 What's Next?

RAZE can evolve beyond Python debugging with:

  • Support for more programming languages
  • Deeper project and codebase context
  • Stronger test-driven verification
  • More advanced runtime diagnostics
  • Better learning-focused explanations

RAZE Debug Mentor is ultimately about making AI-assisted debugging more grounded, understandable, and reliable.

From runtime error to root cause — with evidence.

Presentation Deck: https://gamma.app/docs/RAZE-Debug-Mentor-AI-Builders-Hackathon-yyruly1w3jjzrat

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