# ThinkingSDK

> Autonomous debugging platform that detects production exceptions in real-time, generates AI-powered fixes, and submits verified pull requests automatically.

For comprehensive documentation, see: https://thinkingsdk.com/llms-full.txt

ThinkingSDK turns your codebase into a self-repairing system. When an exception occurs in production, the SDK captures the full crash state (variables, stack traces, breadcrumbs, system info), analyzes the root cause using AI, generates a production-grade patch with unit tests, and submits a pull request — averaging 5 minutes from exception to PR.

## Key Features

- **Crash Time Capsule**: Captures the complete state at the moment of a crash — local variables at every stack frame, breadcrumb trail of events leading up to the exception, system memory/CPU/thread state, and framework-specific context (Django, Flask, FastAPI).

- **AI Fix Generation**: Pinpoints root cause of production incidents, generates a production-grade patch, and delivers a pull request with unit tests and detailed incident analysis. Powered by ThinkingSDK AI coding models.

- **Crash Simulator**: Interactive crash replay that lets developers step through the crash like a debugger — view source code, variables, and breadcrumbs at each frame. Includes an in-browser Python sandbox (Pyodide) to test fixes with the exact captured crash state.

- **Built-in Fix Quality Judge**: AI-powered quality gates that validate and rework code fixes to meet quality and security standards before submission.

- **Multi-Platform Support**: Currently supports Python (Flask, Django, FastAPI, SQLAlchemy, Psycopg2, PyMongo, Redis). JavaScript/Node.js and iOS support coming soon.

## How It Works

1. Install the ThinkingSDK Python client in your application
2. The SDK automatically captures exceptions with full crash context
3. ThinkingSDK's agentic layer analyzes the exception and codebase
4. An AI-generated fix is created, tested, and evaluated by a quality judge
5. A verified pull request is submitted to your GitHub repository
6. Average time from exception to PR: 5 minutes

## Stats

- 5 minutes average from exception to pull request
- 87% reduction in Mean Time To Resolution (MTTR)
- 1M+ exceptions analyzed

## Links

- Homepage: https://thinkingsdk.com
- Documentation: https://thinkingsdk.com/documentation
- Blog: https://thinkingsdk.com/blog
- Live Demo: https://thinkingsdk.com/demo/dashboard
- Get Started: https://thinkingsdk.com/get-started

## Technical Details

- SDK Language: Python
- Supported Frameworks: Flask, Django, FastAPI
- Database Integrations: SQLAlchemy, Psycopg2, PyMongo, Redis
- AI Models: ThinkingSDK AI coding models
- Deployment: Self-hosted or cloud
- Security: PII scrubbing, filtered environment variables, no credentials captured

## Company

Founded by leaders who previously directed deep learning research at the world's most advanced AI laboratories. ThinkingSDK is solving the hardest problem in AI: turning generative coding into robust, self-healing autonomy.