What is Rp1 and what does it do?

Rp1 provides professional development workflows for AI coding assistants, enabling structured tasks like feature development, bug investigation, and PR review. It features 21 commands and 18 specialized agents to help developers 'stop prompting; start shipping'.

How do I install Rp1?

For Claude Code, you can install Rp1 by adding the marketplace (`/plugin marketplace add rp1-run/rp1`) and then installing `rp1-base` and `rp1-dev` plugins (`/plugin install rp1-base`, `/plugin install rp1-dev`), followed by restarting Claude Code. For OpenCode, you need to install the Rp1 CLI first (via Homebrew, curl, or Scoop) and then run `rp1 install:opencode`, followed by restarting OpenCode.

What AI coding assistants does Rp1 support?

Rp1 currently works with Claude Code and OpenCode. The platform is designed to be model/tool agnostic, with plans to support more tools like Cursor, Goose, and Amp in the future.

How does Rp1 manage context for my codebase?

Rp1 achieves 'codebase awareness' by building a knowledge base using the `/knowledge-build` command. This process scans your codebase, extracts architecture, documents concepts, and stores everything in `.rp1/context/`. This knowledge base then serves as context for every subsequent command, ensuring that advice and generated code respect your existing patterns.

What is 'single-pass execution' in Rp1?

Single-pass execution means that tasks complete in one shot without iteration loops or phrases like 'let me revise that'. This is enabled by 'constitutional prompts' that encode expert patterns with built-in rules, ensuring efficient and direct task completion.

Can I skip steps in the feature development workflow?

Yes, you can skip certain steps with caution. Specifically, 'Blueprint' can be skipped for small features in existing projects, and 'validate-hypothesis' can be skipped unless you have risky assumptions. However, it is strongly advised not to skip the requirements, design, or tasks steps, as these provide essential context for the build and verification phases.

What should I do if Rp1 commands are not appearing after installation?

If you are using Claude Code, ensure you have closed and reopened Claude Code after installing the plugins. For OpenCode users, verify that the installer completed successfully and that the plugins are located in the correct directory.

Why is the initial knowledge build taking a long time?

The first-time knowledge build analyzes your entire codebase, which can take 10-15 minutes for large projects. Subsequent builds are incremental and typically complete within 2-5 minutes.

Where can I get help or report issues for Rp1?

You can find help and support for Rp1 on its GitHub repository at `rp1-run/rp1`. For reporting bugs or requesting new features, you can open a new issue on the GitHub Issues page.

Rp1: AI Coding Assistant Workflows for Professional Developers

Rp1 Overview

Rp1 is an advanced AI tool that transforms how developers interact with AI coding assistants, moving beyond simple prompting to structured, professional development workflows. It integrates seamlessly with platforms like Claude Code and OpenCode, providing a comprehensive suite of commands and specialized agents to manage the entire software development lifecycle.

How to use Rp1

To use Rp1, first ensure you have an AI coding assistant like Claude Code or OpenCode installed. Then, install Rp1 either via the Claude Code marketplace or using the Rp1 CLI for OpenCode. Begin by building a knowledge base of your codebase using the /knowledge-build command, which analyzes your project's architecture and patterns. Once the knowledge base is established, you can initiate various workflows. For feature development, use commands like /feature-requirements to define specifications, /feature-design for technical design, /feature-tasks to break down work, /feature-build to implement code, and /feature-verify to validate the implementation. Other commands are available for PR review (/pr-review), bug investigation (/code-investigate), and strategic analysis (/strategize).

Core Features of Rp1

21 Commands & 18 Specialized Agents: A rich set of tools for diverse development tasks.
Single-Pass Execution: Tasks complete in one shot using constitutional prompts, eliminating iterative revisions.
Codebase Awareness: Builds a knowledge base of your project's architecture and patterns for context-aware assistance.
Lean Context Architecture: Manages complex work through subagent delegation and progressive disclosure, keeping the main thread focused.
Artifacts-Driven Development: Generates structured documentation (requirements, designs, tasks, verification reports) at each workflow step.
Hypothesis Testing: Validates design decisions against your codebase early in the process.
Flexible Starting Points: Supports full blueprints with charters and PRDs, or allows jumping in with vague ideas.
Batteries Included: Ships with pre-tuned skills, subagents, and prompts out of the box.
Always Open Source: Fully pluggable into existing agentic tools, offering control over workflows.
Visual-First: Emphasizes diagrams, charts, and structured outputs for clarity.
Model/Tool Agnostic: Works with various frontier models and platforms, including Claude Code and OpenCode, with more integrations planned.

Use Cases for Rp1

Rp1 is ideal for professional software development teams and individual developers looking to enhance their productivity with AI. Specific use cases include end-to-end feature development from initial requirements to verified implementation, systematic bug investigation with evidence-based hypothesis testing, thorough multi-pass PR reviews with visual diagrams, and efficient team onboarding by generating knowledge bases and orientation documentation for new developers.

Advantages of Rp1

The primary advantages of Rp1 lie in its ability to enforce structured, professional development workflows with AI. Its single-pass execution significantly reduces development cycles by eliminating back-and-forth prompting. Codebase awareness ensures that AI-generated code and advice are always relevant and respect existing patterns. The artifacts-driven approach provides comprehensive documentation at every stage, improving traceability and maintainability. Being open-source and model-agnostic offers flexibility and avoids vendor lock-in, while its visual-first outputs enhance clarity and understanding of complex changes.

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Rp1 Categories

Ai Assistant Code Generation Code Review Technical Writing Software Development

Rp1 Tags

AI assistant AI coding bug fixing claude-code code generation code review constitutional prompting developer tools documentation knowledge base OpenCode open source project management software development workflow automation

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