Update README with comprehensive repository overview
- Preserve original purpose: AI team delegation for founder CTOs - Add branch structure and workflow overview - Include documentation roadmap and quick start guide - Explain AI agent integration and LLM optimization - Provide clear navigation to feature branch documentation - Maintain professional structure for repository visitors
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README.md
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# CTO
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Prompts and code for founder CTO who want to delegate to AI as an entire team.
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**Prompts and code for founder CTO who want to delegate to AI as an entire team.**
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*A well-structured repository with comprehensive git workflow and AI agent integration*
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## 🏗️ Repository Structure
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This repository follows a clean, organized structure with proper documentation and workflow management.
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```
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CTO/
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├── README.md (this file)
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├── LICENSE
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└── docs/ (comprehensive documentation - see feature branches)
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```
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## 🌳 Branch Structure
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| Branch | Purpose | Status | Description |
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|--------|---------|--------|-------------|
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| **`main`** | 🔒 **Stable** | Protected | Main stable branch - no direct commits |
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| **`LLMBOOTSTRAP`** | 🚀 **Active** | Feature | Initial setup and bootstrap work |
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| **`INTEGRATION-WIP`** | 🔄 **Integration** | Auto-merge | Continuous integration testing |
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| **`RELEASE`** | 📦 **Production** | Manual-only | Production-ready releases |
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## 📋 Getting Started
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### For Founder CTOs
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This repository provides a complete framework for delegating development work to AI agents while maintaining professional standards:
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1. **Structured AI Delegation:** Complete workflow for AI team management
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2. **Professional Git Practices:** Enterprise-grade branching and documentation
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3. **Dual Documentation:** Human-readable and LLM-optimized references
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### For Developers & AI Agents
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1. **Never work on `main`** - Always create feature branches
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2. **Clone and setup:**
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```bash
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git clone <repository-url>
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cd CTO
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git checkout LLMBOOTSTRAP # See current work
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```
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**AI Agents:** See `docs/AGENT-LLM.MD` in feature branches for optimized instructions.
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## 📚 Documentation
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Complete documentation is available in the `docs/` directory on feature branches:
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### Human-Readable Documentation
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- **`docs/GIT_WORKFLOW.MD`** - Comprehensive git workflow with examples
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- **`docs/AGENT.MD`** - AI agent guidelines and workflow reference
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- **`docs/WORKLOG.md`** - Project progress and milestone tracking
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- **`docs/CURRENTWORK.md`** - Detailed session notes and concerns
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### LLM-Optimized Documentation
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- **`docs/AGENT-LLM.MD`** - Condensed AI agent reference
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- **`docs/WORKLOG-LLM.md`** - Quick status and progress updates
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- **`docs/CURRENTWORK-LLM.md`** - Streamlined session notes
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## 🏷️ Milestones & Tags
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| Tag | Date | Description |
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|-----|------|-------------|
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| `bootstrap-complete` | 2025-09-05 | Initial project structure and workflow setup |
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View all tags: `git tag -l`
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## 🔧 AI Team Management Workflow
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1. **Feature Development:** AI agents create branches from `main` for all work
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2. **Integration Testing:** Features auto-merge to `INTEGRATION-WIP`
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3. **Production Release:** Manual PR review required for `RELEASE`
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4. **Branch Preservation:** Never auto-delete feature branches
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5. **Milestone Tracking:** Tag important stages and achievements
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## 🤖 AI Agent Integration
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This repository is optimized for AI-assisted development:
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- **Platform Compatibility:** Gemini-CLI, Claude, OpenCode
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- **LLM-Optimized Docs:** Streamlined references for AI consumption
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- **Automated Workflows:** Structured processes for consistent AI development
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- **Work Tracking:** Built-in logging for session continuity
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## 🔗 Quick Links
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**To explore the project:**
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1. Switch to `LLMBOOTSTRAP` branch: `git checkout LLMBOOTSTRAP`
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2. Review documentation in `docs/` directory
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3. Check current status in `docs/WORKLOG.md`
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**For AI agents:**
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1. Primary reference: `docs/AGENT-LLM.MD`
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2. Quick status: `docs/WORKLOG-LLM.md`
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## 📊 Repository Stats
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- **Platform:** Gitea
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- **Created:** 2025-09-05
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- **Purpose:** AI team delegation framework
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- **AI-Friendly:** ✅ Optimized for LLM consumption
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---
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*This repository maintains dual documentation (human + LLM optimized) and follows strict workflow preservation practices for professional AI team management.*
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