Overview

In the world of open-source development, first impressions matter—and often, your project's README is the first thing users and contributors will encounter. GitHub Coach is an intelligent Streamlit-based application powered by a multi-agent system that automates and enhances the process of auditing and improving GitHub READMEs.

Built using LangChain, OpenAI, and a modular architecture of AI agents, GitHub Coach offers an all-in-one solution for:

• Improving project titles and summaries
• Suggesting metadata tags and keywords
• Identifying missing documentation elements
• Fact-checking and validating suggestions against actual repository content

Whether you’re polishing a portfolio project or managing a large open-source codebase, GitHub Coach is your AI documentation assistant.

Motivation

Many developers, especially in the AI/ML and software engineering communities, build powerful projects but struggle to clearly communicate their work. This gap between technical implementation and public presentation limits the visibility and adoption of great software.

I created GitHub Coach to solve this pain point by leveraging the power of Large Language Models (LLMs) and multi-agent collaboration, enabling smart, context-aware documentation support for GitHub repositories.

How It Works: The Multi-Agent Architecture

GitHub Coach is structured around a team of autonomous yet collaborative AI agents. Each agent has a specific responsibility, and they work together through an orchestration flow to produce meaningful documentation suggestions.

Agent Breakdown

These agents are orchestrated using LangChain, ensuring smooth handoffs and stateful collaboration. The process culminates in a consolidated report of improvement suggestions.

Human-in-the-Loop Integration

While GitHub Coach automates many aspects of README analysis, human judgment remains central. Users receive suggested edits, not auto-applied changes. This design allows users to:

• Review and refine titles, summaries, and metadata suggestions
• Approve or discard changes based on project goals
• Incorporate suggestions incrementally or collaboratively with team members

This balance between automation and human oversight ensures the tool augments creativity without overriding it.

App UI & User Journey

The user interface is built with Streamlit, ensuring a responsive, clean, and beginner-friendly experience. Here's how users interact with the app:

1. Input the GitHub URL of the repository you want to improve.

2. The app clones the repository and initiates the multi-agent pipeline.

3. In a few seconds, you receive:

   • A suggested improved title and description
   • Keywords and tags to add to your README or repo topics
   • A breakdown of what's missing or unclear in your documentation
   • Confirmed accuracy of all suggestions based on your repo content

Try it now: https://appcoach-gwxc4evfn29zkmdmqghrdq.streamlit.app/

Tech Stack

• Frontend: Streamlit
• Backend: Python + LangChain
• LLM: OpenAI GPT (configurable via Streamlit secrets)
• Repository Cloning: GitPython
• Orchestration: Custom logic using agent modules
• Deployment: Streamlit Community Cloud

Configuration & Setup

To run locally:

1. Clone the repo:

   git clone https://github.com/Chizzy0428/Github_coach.git
   cd Github_coach

2. Install dependencies:

   pip install -r requirements.txt
   

3. Set your OpenAI API Key using either:

   • A .env file:

     OPENAI_API_KEY=your-api-key
     OPENAI_MODEL=gpt-4o
     

   • Or Streamlit secrets via .streamlit/secrets.toml:

     OPENAI_API_KEY = "your-api-key"
     OPENAI_MODEL = "gpt-4o"

4. Run the app:

   streamlit run main.py

Impact

This tool offers real benefits across different user personas:

• Junior Developers: Learn what makes a good README.
• Open Source Maintainers: Save time improving documentation.
• Tech Bloggers & Portfolio Builders: Improve project presentation.
• Hiring Candidates: Better communicate personal projects.

Screenshots

Before:

After :

Limitations

• Works best with public GitHub repositories.
• Focused on Python projects and AI/ML workflows (but adaptable).
• Currently English-only suggestions.

Contributing

Contributions are welcome! To contribute:

1. Fork the repository.
2. Create your feature branch (git checkout -b feature-name)
3. Commit your changes.
4. Push to the branch and open a pull request.

License

This project is licensed under the MIT License.
See LICENSE for details.

Maintenance & Support

GitHub Coach is actively maintained.
Feature requests and issues are handled via GitHub
Versioning via tagged releases
Planned roadmap includes:

• Multi-language support
• Auto-PR integration for README suggestions
• UI improvements

Connect with Me

• GitHub: @Chizzy0428
• LinkedIn: https://www.linkedin.com/in/chizaram-nwabuisi-61ab6535b

Final Thoughts

GitHub Coach isn't just another README formatter. It's an intelligent AI assistant that evaluates your codebase contextually, collaborates through agentic reasoning, and helps you articulate the value of your work. In a world where presentation is just as important as innovation, this tool helps you bridge the gap.