millionco

Debugging skill for AI agents

50
3
100% credibility
Found Apr 10, 2026 at 50 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Debug Agent is an open-source skill for AI coding assistants that enables evidence-based debugging by instrumenting code with logs and analyzing runtime data.

How It Works

1
🔍 Discover Debug Agent

You hear about a helpful tool that makes your AI coding buddy better at fixing bugs by looking at real evidence from running your program.

2
⚙️ Add the skill

You run a quick setup command to teach your AI coding helper this new debugging trick, and it works for tools like Cursor or Claude.

3
💬 Describe your bug

In your chat with the AI, you simply say what problem you're having, like 'the button doesn't work right', and it springs into action.

4
📝 AI adds tracking notes

Your AI thinks of smart guesses and suggests tiny notes to sprinkle in your code to watch what happens when it runs.

5
▶️ Re-run and capture

You try the buggy action again in your program, and it quietly gathers those notes about what really went wrong.

6
🔬 AI analyzes evidence

The AI pores over the collected notes, confirms the real cause, and only suggests a fix when it's absolutely sure.

Bug fixed for good

Your code works perfectly now, with the AI verifying the fix, saving you hours of frustration and guesswork.

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Star Growth

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AI-Generated Review

What is debug-agent?

Debug-agent is a TypeScript tool that adds debugging skills to AI agents like Claude Code, Cursor, and GitHub Copilot, turning guesswork into evidence-based fixes. Run `npx debug-agent@latest init` to install the skill, then trigger it with `/debug-agent [your issue]` in Claude Code or by asking Cursor to use it. It instruments code with lightweight NDJSON logs via HTTP fetch in JS/TS or file I/O in Python, Java, and others, analyzes runtime evidence after bug reproduction, and applies confident fixes.

Why is it gaining traction?

Unlike agents that hallucinate fixes from static code, debug-agent enforces hypothesize-log-reproduce-verify workflows, boosting fix accuracy for subtle runtime bugs like stale closures or GitHub Actions failures. Devs love the zero-dependency setup—no project installs needed—and seamless ties to tools like debug agent Cursor or debugging GitHub workflows locally. Its demo nails real pains, like keyboard shortcuts misfiring in React apps.

Who should use this?

AI-heavy frontend/backend devs debugging runtime quirks in web apps, or ops folks troubleshooting GitHub Actions locally and debugging skills in Python/Java. Ideal for Cursor/Claude Code users facing elusive bugs that static analysis misses, or anyone prepping debugging skills for resume/interviews via hands-on examples.

Verdict

Try it if you're deep into AI agents—early wins on evidence-driven debugging make it worth the spin-up. With 50 stars and 1.0% credibility, it's immature (light docs, no tests visible), but MIT-licensed and npx-ready; watch for polish before production.

(198 words)

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