AI Agent System
A coordinated multi-agent framework for AI-powered software development workflows.
TL;DR
- Install:
/install-plugin rjmurillo/ai-agents (Claude Code or GitHub Copilot CLI)
- Use: Ask the orchestrator to coordinate tasks, or call agents directly by name
- Result: 21 specialized agents handle research → planning → implementation → QA → deployment
# Example: End-to-end feature development
> orchestrator: implement user authentication with OAuth2, including tests and security review
Where to Start
Is This For You?
✅ Good fit if:
- You use Claude Code, GitHub Copilot CLI, or VS Code with Copilot
- You want structured, multi-step AI workflows with clear accountability
- You need audit trails and consistent output formats
- You prefer specialized agents over generic prompting
❌ Not ideal if:
- You prefer single-prompt interactions without agent orchestration
- You're not using one of the supported platforms (Claude Code, Copilot CLI, VS Code)
- You need real-time streaming responses for all interactions
Table of Contents
Purpose and Scope
What is AI Agents?
AI Agents is a coordinated multi-agent system for software development. It provides specialized AI agents that handle different phases of the development lifecycle, from research and planning through implementation and quality assurance.
The orchestrator is the hub of operations. Within it has logic from taking everything from a "vibe" or a "shower thought" and building out a fully functional spec with acceptance criteria and user stories, to taking a well defined idea as input and executing on it. There are 21 agents that cover the roles of software development, from vision and strategy, to architecture, implementation, and verification. Each role looks at something specific, like the critic that just looks to poke holes in other agents' (or your own) work, or DevOps that's concerned about how you deploy and operate the thing you just built.
rjmurillo