RAPID: Autonomous AI Development Framework

Research → Analyze → Prototype → Iterate → Deploy

RAPID is an autonomous AI development workflow that transforms project descriptions into working software through iterative, evidence-based cycles.

Framework Overview

RAPID uses 5 specialized AI agents that coordinate through standardized file communication:

Agents

• 🔍 Research Agent - Project analysis and technical research
• 🧠 Analyze Agent - Implementation decisions and specifications
• 🔨 Prototype Agent - Working code implementation
• 🔬 Iterate Agent - Testing and quality validation
• 🚀 Deploy Agent - Deployment and operational verification

Workflow

1. Research analyzes project requirements, creates feature roadmap
2. Analyze makes technical decisions for current feature
3. Prototype builds working implementation with evidence
4. Iterate tests thoroughly, identifies critical issues
5. Deploy makes functionality available and verifies operation

Each cycle produces deployable functionality for a single feature.

Key Principles

• Evidence-based progression - No advancement without concrete proof
• Anti-optimism enforcement - Claims must be verified with evidence
• Real-time progress tracking - Timestamped updates from all agents
• Incremental delivery - Working software every cycle
• Quality gates - Strict requirements between phases

Communication Structure

docs/rapid/
├── progress/                    # Real-time agent status updates
├── project-status.md           # Overall project dashboard
├── feature-backlog.md          # Prioritized feature list
├── cycle-brief.md              # Current cycle objectives
└── [agent]-output.md          # Agent deliverables

Agent Files

• CLAUDE.md - RAPID Orchestrator
• rapid-research.md - Research Agent
• rapid-analyze.md - Analyze Agent
• rapid-prototype.md - Prototype Agent
• rapid-iterate.md - Iterate Agent
• rapid-deploy.md - Deploy Agent

Usage

Input: Project description
Output: Working software delivered incrementally through feature cycles

The framework handles project breakdown, technical decisions, implementation, testing, and deployment autonomously while maintaining full transparency through progress tracking files.