AutoDoc

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AutoDoc Generating Stage
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Inspiration

Every developer knows the pain of documentation - it's tedious, time-consuming, and often feels like it takes away from actual coding. As developers ourselves, we felt this frustration firsthand. That's what sparked our idea: why not let AI handle the heavy lifting of documentation? By combining large language models with code analysis, we could turn hours of documentation work into minutes.

What it does

Our solution is beautifully simple: just point it at your project folder, and let the AI do the rest. The system analyzes your codebase, understanding its structure and components, then automatically generates comprehensive documentation. No more manual writing - just download your ready-to-use PDF documentation and get back to what you love: coding.

How we built it

We created a streamlined tech stack that combines power with simplicity:

Frontend: A clean React interface that makes uploading projects intuitive
Backend: FastAPI Python server that handles the heavy lifting
AI Engine: Locally-run Ollama using the deepseek r1 model for intelligent code analysis
Output: Automated PDF generation for easy sharing and reference

Challenges we ran into

A significant challenge we encountered was running Ollama locally, as it demands substantial GPU resources for optimal performance. The PDF generation process was time-intensive, particularly for larger projects. Despite these hardware and performance constraints, we worked to optimize the system while maintaining the quality of the generated documentation.

Accomplishments that we're proud of

We built a working documentation generator in just 24 hours that turns code into readable documentation using local AI processing. It's focused on generating basic documentation right now, achieving this core functionality in a day was a proud accomplishment for us.

What we learned

Running and optimizing large language models locally using Ollama
Integrating AI with full-stack development using React and FastAPI

Most importantly, we discovered that AI documentation tools don't need complex cloud infrastructure or expensive API calls to be effective - a well-designed local solution can deliver immediate value to developers.

What's next for AutoDoc

Our roadmap is focused on making documentation generation more flexible and powerful:

Documentation Templates

We're building a library of customizable prompts for different documentation styles - from API specs to architectural overviews - letting teams match their preferred documentation formats.

Interactive Editing

Soon you'll be able to refine AI-generated documentation before finalizing it, combining the speed of automation with human oversight for perfect results.

Hybrid AI Processing

While local AI processing offers great privacy and no API costs, we're adding the option to switch between local and cloud-based AI. This flexibility lets teams choose between maximum privacy with local processing or faster generation with cloud AI.