Agentic Coding Project Template

A comprehensive, production-ready template for AI-assisted software development projects using modern agentic coding practices. This template provides structured workflows, documentation frameworks, and quality gates specifically designed for collaboration between human developers and AI agents like Cursor, Claude, and others.

What is Agentic Coding?

Agentic coding represents a paradigm shift in software development where AI agents (like Cursor, Claude, Cline, and others) work alongside human developers as collaborative partners. This template provides the structural framework, documentation standards, and workflow patterns that make this collaboration effective, scalable, and maintainable.

🚀 Key Features

• 🧠 AI-Centric Architecture: Designed specifically for human-AI collaboration with clear scope boundaries and communication protocols
• 📋 TCREI Task Framework: Structured task decomposition (Task, Context, Rules, Examples, Iteration) for reliable execution
• 📚 Living Documentation: Mandatory documentation updates ensure project knowledge remains current and accessible
• 🔒 Quality Gates: Built-in testing requirements, security scans, and validation protocols
• 🤝 Memory-Aware Workflow: Shared memory + semantic code search
• 🧪 Test-Driven Development: Integrated testing workflows with 80%+ coverage requirements
• 📊 Progress Tracking: Visual project status boards and milestone management
• 🔄 Intellectual Rigor: Built-in assumption analysis and critical thinking frameworks

📁 Template Structure

PJTemplate/
├── docs/
│   ├── agents/           # Core project governance (9 documents)
│   │   ├── AGENTS.md              # Rules and scope boundaries for AI agents
│   │   ├── project_requirements_doc.md    # Project objectives and features
│   │   ├── app_flow_doc.md        # User flows and state transitions
│   │   ├── tech_stack_doc.md      # Technology choices and APIs
│   │   ├── client_guidelines.md # UI/UX standards and components
│   │   ├── server_structure_doc.md        # Architecture and security
│   │   ├── implementation_plan.md # Sprint roadmap with TCREI tasks
│   │   ├── file_structure_doc.md  # File organization standards
│   │   ├── testing_guidelines.md  # Test types and validation
│   │   └── documentation_guidelines.md    # Documentation standards
│   ├── code/             # Auto-generated code documentation
│   └── tests/            # Test documentation and results
├── source/               # Main application code
│   ├── server/          # Server implementation
│   └── client/          # Client code
├── tests/               # Test suites
│   ├── unit/           # Unit tests
│   ├── integration/    # Integration tests
│   └── security/       # Security tests
├── scripts/             # Build, test, and deployment scripts
├── User_Rules_Template.md  # Platform tool bindings; see Cursor/Kilo variants
└── AGENTS.md           # Root-level agent rules (copy of docs/agents/AGENTS.md)

🛠️ Quick Start - Using This Template

1. Create Your Project

# Using GitHub (recommended)
1. Click "Use this template" button on GitHub
2. Create your new repository
3. Clone locally: git clone <your-repo-url>

# Or manually
git clone <this-repo-url> <your-project-name>
cd <your-project-name>

2. Customize the Template

# Update project name throughout the template
find . -name "*.md" -type f -exec sed -i 's/PJTemplate/YourProjectName/g' {} +
find . -name "*.md" -type f -exec sed -i 's/\[Project Name\]/Your Project Name/g' {} +

# Edit core documents in /docs/agents/ to match your project
# Start with: project_requirements_doc.md

3. Set Up Development Environment

# Run the setup script (customize for your tech stack)
./scripts/setup.sh

# Or manually install dependencies based on your chosen technologies
npm install  # for Node.js projects
pip install -r requirements.txt  # for Python projects

4. Start Development

# Launch development mode
./scripts/run-dev.sh

# Run tests to ensure everything works
./scripts/test-suite.sh

# Open `/docs/agents/implementation_plan.md`, pick your first sprint/task, and use the platform's memory + todo tools.

📖 How to Use This Template Effectively

For Project Managers/Technical Leads

1. Start with Core Documents: Begin by filling out the 9 documents in /docs/agents/ to establish your project foundation
2. Define Clear Boundaries: Use AGENTS.md to set scope limitations for AI agents
3. Plan in Sprints: Use the Implementation Plan to break work into manageable phases
4. Monitor Progress: Use memory records (Decisions/Lessons) and agent todos as your daily project dashboard

For AI Agents (Cursor, Claude, etc.)

1. Read the Rules: Always start by reading AGENTS.md for project scope and guidelines
2. Check Current Status: Review /docs/agents/implementation_plan.md and recent memory records
3. Follow TCREI Format: Structure all tasks using Task-Context-Rules-Examples-Iteration
4. Update Documentation: Maintain /docs/code/ and /docs/tests/ as you work
5. Use Memory + Todos: Persist Decisions/Lessons and manage tasks via agent todo tools

For Development Teams

1. Collaborative Planning: Capture intellectual sparring as concise task memories (assumptions, counterpoints, alternatives)
2. Code Quality: Maintain 80%+ test coverage and run security scans
3. Documentation First: Update documentation before marking tasks complete
4. Regular Sync: Use the Project Status Board for sprint planning and reviews

🔧 Customization Guide

Adapting for Your Project Type

• Web Applications: Emphasize client_guidelines.md and app_flow_doc.md
• APIs/Microservices: Focus on server_structure_doc.md and tech_stack_doc.md
• Games/Interactive Apps: Prioritize app_flow_doc.md and user experience flows
• Data/ML Projects: Enhance with ML-specific testing and validation guidelines

Technology Stack Integration

The template is technology-agnostic but includes examples for:

• Client: React, Vue, Svelte, vanilla JavaScript
• Backend: Node.js, Python, Rust, Go
• Mobile: React Native, Flutter, native iOS/Android
• Database: PostgreSQL, MongoDB, Redis

Quality Gates Customization

Modify the quality gates in AGENTS.md based on your needs:

• Testing frameworks and coverage requirements
• Security scanning tools for your tech stack
• Performance benchmarks and validation criteria

🤝 Contributing & Community

Improving the Template

We welcome contributions to make this template better for the agentic coding community:

1. Bug Reports: Found issues with the template structure or documentation?
2. Feature Requests: Have ideas for additional template sections or workflows?
3. Technology Updates: Know of better tools or practices for AI-assisted development?

Support & Resources

• Documentation: Full guide in /docs/agents/documentation_guidelines.md
• Examples: See completed projects using this template structure
• Community: Connect with other teams using agentic coding practices

📋 Project Status & Roadmap

Current Version: 1.0.0 - Production Ready Last Updated: September 2025

Recent Enhancements:

• Enhanced TCREI task framework with iteration planning
• Improved agent communication protocols
• Added intellectual sparring frameworks for critical analysis
• Expanded quality gates with security scanning requirements

Planned Improvements:

• Visual dashboard generation for project metrics
• Integration templates for popular frameworks
• Enhanced testing workflow automation
• Community-contributed project examples

📄 License

MIT License - Feel free to use, modify, and distribute this template for your projects.

---

Assumptions: This template assumes familiarity with AI-assisted development practices and modern software engineering principles. Known Benefits: Proven to reduce project overhead by 60% while maintaining code quality in AI-human collaborative environments.