🚀 Building Lumina: My Journey Creating an AI-Powered Bug Explainer for Learners
Ever spent hours staring at a Python error that made zero sense? I have and that pain inspired me to build Lumina.
Hey everyone! 👋
I’m Akash, a CS student, and I wanted to share the progress on Lumina a personal project I’ve been building to help developers and students debug smarter with AI powered insights. I’ve wrapped up the core features and docs, so here’s what I’ve made, why I made it, and what’s next!
🔧 What is Lumina?
Lumina is an AI powered bug explainer combining enhanced static and dynamic code analysis with smart AI explanations. It’s about helping you understand why bugs happen not just fixing them quickly.
🛠️ What I’ve Built (So Far)
-
Static Analysis: Finds bugs like index errors, security risks (
eval()), bare excepts, missing docs, and more. - Dynamic Tracing: Runs your code in a safe sandbox and tracks execution step-by-step.
- Basic AI Explainer: Gives educational feedback based on the analyses.
- CLI Interface: Easy command line tool to analyse files or run demos, with JSON output and verbosity.
- Full Documentation: Polished README, API docs, contributing guide, and changelog to help you get started fast.
🎯 Who is Lumina For?
- Beginners learning to debug
- Developers wanting clearer bug insights
- Teachers looking for debugging tools
- Curious coders who want to understand code better
It’s not just a quick fix ; it’s a learning companion.
💡 Why I Built Lumina
As a student, I didn’t just want to fix bugs , I wanted to understand them. Too often I’d copy errors into Google or GPT, get a fix, but learn nothing. Lumina is my attempt to change that.
🧰 Tech & Skills I Learned
- Building AST analyzers for complex bug patterns
- Running sandboxed Python code safely
- Using modular architecture and CLI design
- Writing clear docs & designing for users
It’s been an awesome journey into software and AI!
🔮 What’s Next for Lumina?
- Automated testing + CI for rock solid code
- Real AI integration with OpenAI or Gemini for smarter explanations
- A slick web UI for easy browser use
- Support for multi file projects
- Performance and security upgrades
I’d love your thoughts! What features would you find helpful in an AI bug explainer?
🤔 Why Lumina Beats Just Copy <-> Pasting to GPT
I know what you’re thinking: “Why not just toss my code into GPT?” Here’s why Lumina is different:
- Finds bugs with rule based precision
- Shows step by step execution traces
- Combines static + dynamic insights for fuller context
- Helps you learn why, not just what
- No random or inconsistent answers
Thanks for following my journey! Check out Lumina and try it yourself:
🔗 github.com/akashdevbuilds/Lumina-ai-debugger
I’d love to know:
What’s the most frustrating bug you’ve ever debugged? Would Lumina have helped?
I’m especially curious how did you learn to debug? Trial and error? A mentor? Stack Overflow? Would love to hear your stories! 👇
— Akash Chandran 🚀 (CS Student Developer)
Top comments (1)
Feel free to be completely honest about Lumina , I’m always looking for real feedback, fresh perspectives, and even tough critiques. The goal is to learn and improve, so don’t hold back! 🙌