AI Error Doctor – A CLI That Explains Errors Like a Human

#devchallenge #githubchallenge #cli #githubcopilot

GitHub Copilot CLI Challenge Submission

What I Built

I built AI Error Doctor, a simple but powerful Python CLI tool that takes a raw error message and instantly explains:

🔍 What the error means

🔧 Why it happened

✅ How to fix it

As a student and early-stage developer, I often found error messages confusing, especially for beginners. This tool is designed to act like a friendly debugging assistant right inside the terminal.

Example usage:

py error_doctor.py "ModuleNotFoundError: No module named 'requests'"

Example output:

📋 Error Type: ModuleNotFoundError
💡 Explanation: Python cannot find the requested module.
🔧 Suggested Fix: pip install requests

The tool currently supports common Python, npm, and Git errors, and it’s easy to extend with more patterns.

Demo
📸 Screenshots

💻 Code

https://github.com/SHAHID-glitch/ai-error-doctor

Video Link: https://player.mux.com/NY00L3RQlb6ZrZiPOT5pfl18WjfhnduhSMPqC7HsaaYw

GitHub Copilot CLI was central to this project.

I used it to:

🧠 Design the CLI structure

✍️ Generate error-handling logic

🔎 Suggest common error patterns and fixes

🚀 Rapidly iterate inside the terminal without switching contexts

Copilot CLI felt like pair programming in the terminal. Instead of searching error explanations online, I could build a tool that explains errors for others — using Copilot itself.

This project genuinely changed how I see debugging: from something frustrating into something automated, educational, and developer-friendly.

Final Thoughts

AI Error Doctor may be simple, but it solves a real problem faced by beginners every day.
This challenge helped me go from asking Copilot for help to building a tool that helps others.

Thank you, GitHub and DEV, for this opportunity 🙌