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Stage 2: Context & Architecture

Master the art of providing context to AI for better code

Why Context Matters​

AI coding assistants are only as good as the context you provide. This stage teaches you how to structure your projects and prompts for maximum AI effectiveness.

This comprehensive course from freeCodeCamp teaches you how to use AI effectively for coding. Discover how to provide proper context, structure your prompts, and leverage AI tools to build real applications.

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What You'll Learn​

At this stage, you'll:

  • Design AI-friendly project architectures
  • Provide effective context in prompts
  • Use RAG (Retrieval-Augmented Generation) techniques
  • Organize code for better AI understanding
  • Leverage documentation and examples

Key Concepts​

Project Organization​

  • Clear file structure
  • Meaningful naming conventions
  • Self-documenting code
  • Comprehensive README files

Context Techniques​

  • Prompt engineering for code
  • Using examples effectively
  • Breaking down complex tasks
  • Iterative refinement

Prompt Engineering for Code​

  1. Anthropic's Prompt Engineering Guide

    • Why recommended: Comprehensive guide from Claude's creators on effective prompting techniques
    • Category: Official Documentation

  2. LangChain Prompt Engineering

    • Why recommended: Practical patterns for structuring prompts in production applications
    • Category: Framework Guide

  3. OpenAI Cookbook: Code Generation

    • Why recommended: Real-world examples and best practices for code generation
    • Category: Practical Examples

Context & Architecture​

  1. Anthropic: Long Context Window Best Practices

    • Why recommended: Techniques for effectively using long context windows for entire codebases
    • Category: Technical Guide

  2. GitHub: Awesome AI Coding

    • Why recommended: Curated list of tools, patterns, and best practices for AI-assisted development
    • Category: Resource Collection

  3. Project Structure for AI Coding

    • Why recommended: Example of well-structured project optimized for AI understanding
    • Category: Example Project

Advanced Techniques​

  1. RAG for Code: Retrieval-Augmented Generation

    • Why recommended: Techniques for providing relevant context from large codebases
    • Category: Advanced Technique

  2. Cursor Composer: Multi-File Editing Patterns

    • Why recommended: Official guide on structuring projects for multi-file AI editing
    • Category: Tool-Specific Guide

What's Next?​

Continue building your skills and exploring the community resources!

Need help? Check our Resources page for additional learning materials!