This is a submission for the Runner H "AI Agent Prompting" Challenge
What I Built
I built a Runner H workflow that automatically generates professional project documentation (in markdown format) from any GitHub repository by deeply analyzing the entire codebase.
This Runner H agent:
- Clones the GitHub repository
- Understands the architecture, code structure, and logic
- Extracts key information from source code, dependencies, and file structures
- Generates clean and structured project documentation
It solves the problem of poor or missing documentation in many open-source and internal projects. This agent is especially useful for:
- New developers onboarding to a project
- Maintaining consistent documentation across teams
- Open-source maintainers who want to save time
Demo
How I Used Runner H
Prompt used in Runner H:
Please clone and analyze the following GitHub repository: https://github.com/abdullah-k18/PrintHub Your task is to: 1. Understand the entire codebase — including source code, project structure, dependencies, comments, and any existing documentation. 2. Based on this understanding, generate comprehensive, professional documentation with the following sections: - Project Overview - Key Features and Use Cases - Folder Structure & Module Breakdown - Setup Instructions (installation, configuration, environment variables) - Usage Guide (CLI/API/UI details, if applicable) - Deployment Instructions (if any) - Contribution Guidelines (if not present) - Dependencies / Tech Stack - Author and License Information 3. Deliver the final documentation in a well-formatted markdown format. Note: While the repo did include a basic README, it didn’t describe the actual project functionality or architecture. Runner H intelligently interpreted the logic from the source code and structure to craft the full documentation — showing its ability to reason and extract meaning even in low-context environments.
Use Case & Impact
This workflow can be a game-changer for:
- Dev teams that need instant documentation before handoffs
- Freelancers and consultants inheriting poorly documented code
- Open-source maintainers who want to make their repo contributor-friendly
- Hackathon and startup teams who need quick docs for demos or pitches
It turns Runner H into an autonomous technical writer — no more manually writing project overviews or setup steps.
By making documentation generation automatic, this agent:
- Saves time
- Improves consistency
- Reduces onboarding friction
- Boosts project professionalism
Social Love
Runner H - GitHub Repository Analysis and Documentation | Abdullah Bin Altaf
🚀 Just built something super useful with Runner H, the autonomous agent platform — and I’m genuinely impressed by its capabilities. I gave it just a GitHub repo URL and a clear prompt, and it: 🔍 Understood the entire codebase 🧠 Analyzed the logic, structure, and dependencies 📝 Generated complete project documentation in markdown format This was a real-world test — the repo had a basic README with no detailed explanation of the project. Yet, Runner H read through the code and figured it all out. 📚 I’ve written a blog about the full workflow, the use case, and how this could save countless hours for developers and open-source maintainers: 👉 https://lnkd.in/dnG3f687 🧪 Want to try the same prompt? You can use the exact Runner H chat I used: 💬 https://lnkd.in/dJdbqhWf This is just one example of how AI agents can handle the heavy lifting in creative and technical workflows. #AI #RunnerH #DevTools #OpenSource #Automation #Documentation #Github #AgenticAI #PromptEngineering #BuildWithAI
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