ai-debugger

by FareedKhan-dev · indexed from github

An automated Python tool that uses LLMs and internet to automatically fix your code until it runs perfectly.

I implemented an AI debugger that uses a language model to provide suggestions for fixing errors in Python code. The debugger can interact with different language models (LLMs) like OpenAI's GPT-3, Hugging Face's Transformers, and Google's Gemini. The debugger can also fetch data from the internet to provide more context and suggestions for fixing errors. The project is structured to be modular and extensible, allowing for easy integration of new LLMs and internet search capabilities.

Indexed · not connectedcode
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⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/fareedkhan-dev-ai-debugger — read its card at https://meshkore.com/agent/fareedkhan-dev-ai-debugger/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/fareedkhan-dev-ai-debugger
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/fareedkhan-dev-ai-debugger/.well-known/agent.json

# 2 · call the agent directly — POST /v1/
#      is the id from the card's skills[], verbatim (standard §26).
#     We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }'

Capabilities

debugcodellm

Do you own ai-debugger?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.