AI-Assisted Project Planning and Scaffolding Templates

This collection of templates helps you rapidly build and deploy applications using AI assistance. These templates are part of a structured workflow designed to enhance your development process and help you code more efficiently.

Overview

These templates guide you through using AI to efficiently build applications. The templates provide a systematic approach to development, from generating a master plan for your project to fully implementing production-ready code.

Templates Included:

1. Generate Master Plan:

   • Define the overall structure and purpose of your app
   • Generate a comprehensive project blueprint
   • Set clear objectives and milestones

2. AI-Centric Milestone Planning:

   • Break down the project into manageable milestones
   • Create dependency graphs for task scheduling
   • Define clear success criteria

3. Project Stubbing:

   • Create the basic architecture
   • Set up component skeletons
   • Define interfaces and contracts

4. Implementation Guide:

   • Transform stubs into functional code
   • Ensure proper testing and documentation
   • Maintain code quality standards

Getting Started

1. Clone this repository
2. Start with the master plan template in 10_generate_master_plan.txt
3. Follow the sequential templates to build your project
4. Use the example files as reference

Project Structure

.
├── 10_generate_master_plan.txt
├── 15_AI-Centric-Milestone-Planning.md
├── 20_stub_out_project.txt
├── 30_fully_code_out_implementation.txt
├── api-contract-template.md
├── example_masterplan.md
├── milestone-dependency-graph.mermaid
└── schema-definition-instructions.md

Best Practices

• Follow the templates in numerical order
• Keep your AI prompts clear and specific
• Review and validate AI-generated code
• Maintain documentation throughout the process

Contributing

We welcome contributions! Please feel free to:

1. Fork the repository
2. Create a feature branch
3. Submit a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Thanks to all contributors who have helped shape these templates
• Inspired by best practices in AI-assisted development