PRPs-agentic-eng  by Wirasm

Agentic engineering framework for production-ready code

Created 2 months ago
1,528 stars

Top 27.2% on SourcePulse

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Project Summary

This repository provides the Product Requirement Prompt (PRP) methodology and associated tools for agentic engineering, enabling AI coding agents to generate production-ready code with a single pass. It's designed for engineering and product teams seeking to leverage AI for efficient, reliable software development.

How It Works

The PRP methodology augments traditional Product Requirement Documents (PRDs) by incorporating precise code context, library details, and agent runbooks directly into prompts. This approach, leveraging Claude Code's slash commands, aims to provide AI agents with all necessary information to deliver functional software slices, reducing iteration cycles and improving code quality.

Quick Start & Requirements

  • Installation: Clone the repository or copy resources into an existing project. Initialize Python environments with uv venv and uv sync.
  • Prerequisites: Python, Claude Code (via Anthropic).
  • Setup: Minimal setup time, primarily involves copying files and potentially setting up a Python environment.
  • Resources: Video Walkthrough, Buy me a coffee, Workshop Booking.

Highlighted Details

  • PRP Definition: A minimum viable packet combining PRD, codebase intelligence, and agent runbooks for AI code generation.
  • Claude Commands: Includes 12 pre-configured slash commands for PRP creation/execution, code review, Git integration, and project priming.
  • Project Structure: Provides recommendations for organizing projects with .claude/ commands and PRPs/ directories.
  • CI/CD Integration: Supports headless execution of PRP runner scripts for automated workflows.

Maintenance & Community

The project is maintained by Wirasm. Support is encouraged via coffee donations. Contact is available at rasmus@widinglabs.com.

Licensing & Compatibility

MIT License. Permissive for commercial use and integration with closed-source projects.

Limitations & Caveats

The effectiveness of the PRP methodology is heavily dependent on the quality and completeness of the provided context within the prompts. It is optimized for Claude Code, and compatibility with other AI coding agents may vary.

Health Check
Last Commit

3 weeks ago

Responsiveness

1+ week

Pull Requests (30d)
2
Issues (30d)
1
Star History
229 stars in the last 30 days

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