AI Debugger - aidbg

A minimal, event-driven, multi-language AI debugging engine for modern developers.

aidbg is a local-first, CLI-based AI debugging tool that works across multiple programming languages.

It wraps program execution, detects runtime failures, collects minimal diagnostic context, and returns a structured debugging explanation using an LLM — without running background processes or monitoring your system.

aidbg activates only when your program crashes, analyzes the error, prints a concise fix, and exits immediately.

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🌍 Supported Languages

• Python (.py)
• JavaScript (Node.js) (.js)
• Go (.go)
• Java (.java)

Each language is handled through a lightweight adapter architecture.

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✨ Why aidbg?

Modern developers often copy-paste errors into AI tools to debug problems.

aidbg removes that friction.

Instead of:

python app.py
# copy error
# open browser
# paste into AI

You do:

aidbg run app.py

Or:

aidbg run app.js
aidbg run main.go
aidbg run Test.java

And get:

• Root Cause
• Fix
• Short Explanation

All inside your terminal.

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🔍 Key Features

• CLI-based execution wrapper

• Event-driven (no background daemon)

• Zero idle CPU usage

• Multi-language adapter architecture

• Minimal context collection

• Token-controlled LLM responses

• Guardrails against unsafe or hacky fixes

• Multi-provider support:

  • Groq
  • OpenAI
  • Ollama (local)

• Global and project-level configuration

• Fully open-source core

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🧠 How It Works

Execution Flow:

aidbg run file.ext
  → detect language adapter
  → execute runtime (python/node/go/java)
  → detect crash (non-zero exit)
  → extract failure location
  → collect minimal context
  → send structured prompt to LLM
  → print debugging result
  → exit

aidbg never:

• Runs continuously
• Monitors your system
• Sends your full repository
• Collects environment variables
• Reads .env files
• Uploads datasets

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📦 Installation

Basic installation:

pip install aidbg

With provider extras:

pip install aidbg[groq]
pip install aidbg[openai]
pip install aidbg[ollama]

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⚙️ Configuration

Initialize configuration:

aidbg init

Project-specific config:

aidbg init --local

Config priority:

1. Project config (.aidbg/config.json)
2. Global config (~/.aidbg/config.json)

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🛠 Usage

aidbg run app.py
aidbg run app.js
aidbg run main.go
aidbg run Test.java

Example output:

Root Cause:
Division by zero.

Fix:
Validate the divisor before performing the division.

Explanation:
The program does not check for zero before division.

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🔐 Runtime Requirements

Depending on language used:

• Python 3.9+
• Node.js (for .js files)
• Go (for .go files)
• Java JDK (for .java files)

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🔐 Privacy Model

Collected:

• Relevant traceback or runtime error
• Failing file + line number
• Code snippet around failure
• Shallow project structure (depth ≤ 2)
• Runtime version and OS
• Lightweight dependency info

Never collected:

• Full repository
• Secrets
• Environment variables
• Binary files
• Historical logs

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🧩 Project Structure

aidbg/
│
├─ cli.py                # CLI entrypoint
├─ runner.py             # Runtime execution per language
├─ trigger.py            # Crash detection + LLM orchestration
├─ init.py               # Interactive configuration
├─ config.py             # Config resolution logic
├─ prompt.py             # Prompt construction
│
├─ languages/            # Language adapters
│   ├─ base.py
│   ├─ python.py
│   ├─ javascript.py
│   ├─ go.py
│   ├─ java.py
│   └─ resolver.py
│
├─ context/              # Context extraction modules
│   ├─ collector.py
│   ├─ project_tree.py
│   ├─ environment.py
│   └─ dependencies.py
│
├─ logic/
│   ├─ complexity.py
│   └─ token_budget.py
│
├─ llm/
│   ├─ base.py
│   ├─ groq.py
│   ├─ openai.py
│   └─ ollama.py
│
└─ tests/

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🧪 Testing

pytest

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📈 Roadmap

v0.2

• Multi-language support
• Adapter-based architecture

v0.3 (Planned)

• Interactive terminal mode
• Improved error classification

v1.0 (Future)

• Custom lightweight debugging model
• Optional hosted API
• Core CLI remains open-source

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📄 License

MIT License.

The open-source CLI tool is released under MIT. Future hosted APIs or proprietary debugging models may be released under separate commercial terms.

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🤝 Contributing

Pull requests welcome. Keep contributions minimal, testable, and consistent with the local-first philosophy.