4 docs tagged with "llm"

A comprehensive guide to AI agent architectures — covering the ReAct loop, Andrew Ng's four agentic patterns, memory systems, multi-agent coordination, framework comparisons, and production engineering deep dives.

A complete guide to AI agent capabilities — Tool Use (Function Calling), Model Context Protocol (MCP), Memory systems, RAG, and how to write production-grade agent skills from beginner to senior.

Master the art and science of Prompt Engineering — system prompt design, few-shot learning, Chain-of-Thought reasoning, structured output techniques, and developer workflow prompt templates.

A practical comparison of AI coding tools (Cursor, Windsurf, Copilot, Devin, Replit Agent) and frontier LLM models (Claude 3.5/3.7, GPT-4o/o3, Gemini 2.0, Llama 3) for modern software development.