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Building AI Applications

Building with AI tools is one thing. Building applications that use AI is another. This section covers the unique challenges, patterns, and pitfalls of AI-powered software.
This section is a work in progress. Content is being actively developed.

Topics to Be Covered

  • Choosing an AI provider and model
  • API integration patterns
  • Prompt engineering fundamentals
  • Structured output and response parsing
  • Streaming responses
  • Token management and cost control
  • Rate limiting and retry strategies
  • Agent and tool-use architectures
  • RAG (Retrieval-Augmented Generation)
  • Evaluation and testing AI outputs
  • User experience patterns for AI features
  • Ethical considerations and responsible AI