AI Development Tools & Training Resources

This repository provides comprehensive resources for developers learning to work effectively with AI development tools like GitHub Copilot, including example prompts, context packs, and training materials from a full-day development course.

🎯 Repository Purpose

This collection serves three main purposes:

1. Example Prompts: Ready-to-use prompt templates for AI development tools
2. Context Pack: Complete specification example for context-driven development
3. Training Materials: PowerPoint presentation and resources from AI development training

📁 Repository Contents

GitHubCopilotCourse/
├── github-copilot-training.md        # Marp presentation slides
├── github-copilot-training.pptx      # PowerPoint presentation (latest)
├── github-copilot-training.pdf       # PDF version of presentation
├── one-prompt-to-rule-them-all.md    # Master prompt engineering guide
├── cronos-marp-template.md           # Branded presentation template
├── prompts/                          # Collection of AI prompt templates
│   ├── AnalyzeFunction.prompt.md     # Code analysis prompts
│   ├── AnalyzeStory.prompt.md        # Story/requirement analysis
│   ├── GenerateArchitecture.prompt.md # Architecture generation
│   ├── GenerateDocumentation.prompt.md # Documentation creation
│   ├── GenerateTests.prompt.md       # Test generation prompts
│   ├── ImplementStory.prompt.md      # Feature implementation
│   ├── ReviewSecurity.prompt.md      # Security review prompts
│   ├── Errorfix.prompt.md            # Bug fixing assistance
│   ├── SearchForIssues.prompt.md     # Issue detection
│   └── Open Issues.prompt.md         # Open issue analysis
├── Chatmodes/                        # Custom chat mode configurations
│   ├── Research.chatmode.md          # Research assistant mode
│   └── Teacher.chatmode.md           # Educational assistant mode
├── Instructions/                     # Development instructions
│   └── Development.instructions.md   # Development guidelines
└── context-pack/                     # Complete spec-flow example
    ├── README.md                     # Context pack guide
    ├── requirements.md               # Functional requirements
    ├── tech-stack.md                # Technology specifications
    ├── api-spec.yaml                # OpenAPI specification
    ├── database-schema.sql          # Database design
    ├── ui-mockup.md                 # UI/UX specifications
    ├── code-patterns.md             # Code examples & patterns
    └── team-lunch-voter/            # Sample project structure

🚀 Getting Started

1. Using the Prompt Templates

The prompts/ directory contains structured prompt templates for common development tasks:

# Example: Use the function analysis prompt
cat prompts/AnalyzeFunction.prompt.md

Each prompt follows a consistent CRISP framework structure:

• Context: Background information
• Role: Your role in the task
• Instructions: What to do
• Specifics: Detailed requirements
• Pattern: Expected output format

2. Working with the Context Pack

The context-pack/ demonstrates a complete specification-driven development approach:

# Start with the overview
open context-pack/README.md

# Use with AI tools by referencing multiple files
# Example: "Using the context from requirements.md and api-spec.yaml, implement..."

This pack includes everything needed to build a complete application:

• Business requirements and user stories
• Technical architecture and stack decisions
• API specifications and database schemas
• UI mockups and design patterns
• Code examples and best practices

3. Chat Modes & Instructions

• Chatmodes/: Pre-configured AI assistant modes for different scenarios
• Instructions/: Development guidelines and coding standards

📋 Prompt Categories

Category	Files	Purpose
Analysis	AnalyzeFunction.prompt.md AnalyzeStory.prompt.md	Code and requirement analysis
Generation	GenerateArchitecture.prompt.md GenerateDocumentation.prompt.md GenerateTests.prompt.md	Creating new code and docs
Implementation	ImplementStory.prompt.md	Feature development
Quality	ReviewSecurity.prompt.md SearchForIssues.prompt.md	Code review and issue detection
Debugging	Errorfix.prompt.md Open Issues.prompt.md	Problem resolution

📖 Training Materials

PowerPoint Presentation

The main training resource is github-copilot-training.pptx - a comprehensive full-day course on AI development tools.

Marp Version

For those preferring markdown-based presentations:

1. VS Code with Marp Extension (Recommended):

   • Install Marp for VS Code
   • Open github-copilot-training.md
   • Use Cmd+K V (Mac) or Ctrl+K V (Windows/Linux) for preview

2. Marp CLI:

   npm install -g @marp-team.marp-cli
   marp github-copilot-training.md -o presentation.html

🛠 Best Practices

Effective Prompt Engineering

1. Be Specific: Use the detailed prompt templates as starting points
2. Provide Context: Reference multiple specification files when relevant
3. Follow Patterns: Use the CRISP framework structure
4. Iterate: Start with basic prompts and refine based on results

Context-Driven Development

1. Gather Complete Context: Use all relevant specification documents
2. Reference Standards: Point AI tools to your code patterns and conventions
3. Validate Against Specs: Always check implementations against requirements
4. Use Real Examples: The context-pack provides a complete working example

🎯 Use Cases

• Training Sessions: Use the PowerPoint for workshops and courses
• Daily Development: Apply prompt templates for routine coding tasks
• Project Setup: Follow the context-pack pattern for new projects
• Code Reviews: Use analysis prompts for systematic code evaluation
• Documentation: Generate docs using the provided templates

🤝 Contributing

This repository serves as a reference collection. To contribute:

1. New Prompts: Add structured prompts following the CRISP framework
2. Context Examples: Expand the context-pack with additional scenarios
3. Training Updates: Keep presentation materials current with latest AI tools
4. Documentation: Improve examples and usage instructions

📄 License

These materials are provided for educational and development purposes. Please respect any third-party content licenses when adapting for your organization.

🔗 Related Resources

• GitHub Copilot Documentation
• Prompt Engineering Guide
• Marp Presentation Framework

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Created for AI-assisted development training and best practices