Professional multi-AI development orchestration tool designed to eliminate repetitive manual AI coordination work and dramatically improve development efficiency.
Traditional AI-assisted development suffers from the "long feedback loop" problem:
- ✋ Step 3: Modify your approach
- ⏳ Steps 4-7: Wait through multiple AI processing steps
- 👀 Step 8: Finally see if your modification worked
- 🔄 Repeat: Start over if it didn't work
Result: Inefficient development cycles, difficult debugging, and frustrated developers.
- Manually switching between different AI tools (Claude, Gemini, etc.)
- Copying and pasting context between tools
- Managing multiple terminal sessions and API keys
- Losing track of what each AI instance is working on
- Difficulty coordinating parallel AI tasks
Zero-delay feedback with intelligent multi-AI orchestration
- 🎯 Real-time Feedback: See results immediately after each atomic step
- 🔧 Step-level Debugging: Pause, modify, and re-execute at any point
- 🤖 Multi-AI Coordination: Automatically route tasks to the best AI for each job
- ⚡ Parallel Processing: Run multiple AI instances simultaneously without conflicts
- 🌳 Smart Git Integration: Isolated development environments with automatic merging
Before CodeFlow:
Write requirement → Wait 5 minutes → Get full result → Realize issue → Start over
With CodeFlow:
Write requirement → See analysis (10s) → Approve design (20s) →
Watch coding (30s) → Intervene if needed → See tests (40s) → Deploy (50s)
Natural Language Input → Task Analysis → Multi-AI Orchestration → Real-time Feedback → Deployable Output
- 🧠 Intelligent Orchestrator: Routes tasks based on AI capabilities and current load
- 📡 Real-time Feedback Engine: Provides instant visibility into all AI operations
- 🔧 CLI Integration Layer: Native integration with Claude Code, Gemini CLI, and extensible for more
- 🌊 Process Management: Handles timeouts, retries, and resource monitoring
- 🌳 Git Worktree Integration: Isolated environments prevent conflicts between parallel AI instances
Status: ✅ In Progress
- CLI tool integration and health checking
- Basic process management and timeout handling
- Provider abstraction for multiple AI tools
- Real-time feedback foundation
Timeline: 2-3 months
- Multi-AI task decomposition and routing
- Advanced process management with resource limits
- Complete real-time feedback system
- Session management across AI providers
Timeline: 3-4 months
- Web dashboard for progress visualization
- Advanced Git integration with conflict resolution
- Performance optimization for 5+ concurrent AI instances
- Comprehensive monitoring and analytics
Timeline: 6+ months
- Hybrid deployment (local + cloud)
- Team collaboration features
- Advanced security and compliance
- Custom AI provider plugins
# Automatic AI selection and execution
codeflow run "Implement user authentication with tests"
# Watch real-time progress
codeflow status --watch
# Intervene at any step
codeflow pause task-123
codeflow modify task-123 "Also add password reset functionality"
codeflow resume task-123# Complex feature requiring multiple AI strengths
codeflow run "Create a React dashboard with data visualization and API integration"
# CodeFlow automatically:
# 1. Claude Code → Architecture design and component structure
# 2. Gemini CLI → Data visualization logic and charts
# 3. Claude Code → API integration and error handling
# 4. Both → Testing and documentation# Parallel development streams
codeflow branch feature/dashboard
codeflow run "Implement dashboard UI" &
codeflow run "Create dashboard API" &
# Automatic conflict resolution
codeflow merge --auto-resolve- Node.js 18.0.0+
- Git 2.30+
- Claude Code CLI (optional but recommended)
- Gemini CLI (optional but recommended)
# Install CodeFlow
npm install -g codeflow
# Initialize in your project
cd your-project
codeflow init
# Verify setup
codeflow doctor
# Start your first orchestrated workflow
codeflow run "Analyze this codebase and suggest improvements"- 70%+ reduction in development time vs manual AI management
- <30 seconds average feedback loop time
- 5+ concurrent AI instances supported
- 99.5% process management reliability
- Intelligent CPU and memory monitoring
- Automatic load balancing across AI instances
- Graceful timeout handling (SIGTERM → SIGKILL)
- Real-time resource usage analytics
# .codeflow/config.yaml
providers:
claude-code:
model: "claude-sonnet-4"
timeout: 120000
tools: ["Bash", "Edit", "Read", "Git"]
gemini-cli:
model: "gemini-2.5-pro"
timeout: 90000
workspace: "./src"
orchestration:
max_concurrent: 5
auto_retry: 3
conflict_resolution: "ai-assisted"# Custom workflow templates
codeflow template create web-app-starter
codeflow template create api-with-tests
codeflow template create refactor-legacy
# Use templates
codeflow run --template web-app-starter "E-commerce product page"- 10x faster task switching
- Zero context loss between AI interactions
- Automatic retry and error handling
- CLI-native integration (vs API-only approaches)
- Real-time feedback (vs batch processing)
- Git-first design (vs file-based workflows)
- Developer-focused (vs general automation)
We welcome contributions! Please see our Contributing Guide for details.
git clone https://github.com/your-org/codeflow.git
cd codeflow
npm install
npm run dev- CLI Integration: Proven stable and feature-rich vs direct API calls
- TypeScript: Type safety crucial for multi-AI coordination
- Event-driven: Real-time feedback requires efficient event handling
- Modular Design: Easy to add new AI providers and capabilities
MIT License - see LICENSE file for details.
CodeFlow aims to become the standard orchestration layer for AI-assisted development, enabling developers to harness the full power of multiple AI tools without the overhead of manual coordination.
Join us in eliminating long feedback loops and transforming how developers work with AI. 🌊
Built with insights from production AI development workflows and competitive analysis of Crystal, Claude Swarm, and Claude Flow.