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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2025-09-05 07:38:46 -05:00
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# CTO # CTO
Prompts and code for founder CTO who want to delegate to AI as an entire team. **Prompts and code for founder CTO who want to delegate to AI as an entire team.**
*A well-structured repository with comprehensive git workflow and AI agent integration*
## 🏗️ Repository Structure
This repository follows a clean, organized structure with proper documentation and workflow management.
```
CTO/
├── README.md (this file)
├── LICENSE
└── docs/ (comprehensive documentation - see feature branches)
```
## 🌳 Branch Structure
| Branch | Purpose | Status | Description |
|--------|---------|--------|-------------|
| **`main`** | 🔒 **Stable** | Protected | Main stable branch - no direct commits |
| **`LLMBOOTSTRAP`** | 🚀 **Active** | Feature | Initial setup and bootstrap work |
| **`INTEGRATION-WIP`** | 🔄 **Integration** | Auto-merge | Continuous integration testing |
| **`RELEASE`** | 📦 **Production** | Manual-only | Production-ready releases |
## 📋 Getting Started
### For Founder CTOs
This repository provides a complete framework for delegating development work to AI agents while maintaining professional standards:
1. **Structured AI Delegation:** Complete workflow for AI team management
2. **Professional Git Practices:** Enterprise-grade branching and documentation
3. **Dual Documentation:** Human-readable and LLM-optimized references
### For Developers & AI Agents
1. **Never work on `main`** - Always create feature branches
2. **Clone and setup:**
```bash
git clone <repository-url>
cd CTO
git checkout LLMBOOTSTRAP # See current work
```
**AI Agents:** See `docs/AGENT-LLM.MD` in feature branches for optimized instructions.
## 📚 Documentation
Complete documentation is available in the `docs/` directory on feature branches:
### Human-Readable Documentation
- **`docs/GIT_WORKFLOW.MD`** - Comprehensive git workflow with examples
- **`docs/AGENT.MD`** - AI agent guidelines and workflow reference
- **`docs/WORKLOG.md`** - Project progress and milestone tracking
- **`docs/CURRENTWORK.md`** - Detailed session notes and concerns
### LLM-Optimized Documentation
- **`docs/AGENT-LLM.MD`** - Condensed AI agent reference
- **`docs/WORKLOG-LLM.md`** - Quick status and progress updates
- **`docs/CURRENTWORK-LLM.md`** - Streamlined session notes
## 🏷️ Milestones & Tags
| Tag | Date | Description |
|-----|------|-------------|
| `bootstrap-complete` | 2025-09-05 | Initial project structure and workflow setup |
View all tags: `git tag -l`
## 🔧 AI Team Management Workflow
1. **Feature Development:** AI agents create branches from `main` for all work
2. **Integration Testing:** Features auto-merge to `INTEGRATION-WIP`
3. **Production Release:** Manual PR review required for `RELEASE`
4. **Branch Preservation:** Never auto-delete feature branches
5. **Milestone Tracking:** Tag important stages and achievements
## 🤖 AI Agent Integration
This repository is optimized for AI-assisted development:
- **Platform Compatibility:** Gemini-CLI, Claude, OpenCode
- **LLM-Optimized Docs:** Streamlined references for AI consumption
- **Automated Workflows:** Structured processes for consistent AI development
- **Work Tracking:** Built-in logging for session continuity
## 🔗 Quick Links
**To explore the project:**
1. Switch to `LLMBOOTSTRAP` branch: `git checkout LLMBOOTSTRAP`
2. Review documentation in `docs/` directory
3. Check current status in `docs/WORKLOG.md`
**For AI agents:**
1. Primary reference: `docs/AGENT-LLM.MD`
2. Quick status: `docs/WORKLOG-LLM.md`
## 📊 Repository Stats
- **Platform:** Gitea
- **Created:** 2025-09-05
- **Purpose:** AI team delegation framework
- **AI-Friendly:** ✅ Optimized for LLM consumption
---
*This repository maintains dual documentation (human + LLM optimized) and follows strict workflow preservation practices for professional AI team management.*