AI Development and Engineering covers how to build with Claude Code, coding agents, LangChain, and modern agentic frameworks. The guides here focus on patterns that hold up in production: prompt design, tool use, evaluation, retrieval, and the day to day workflow of shipping AI features rather than toy demos.
Claude Code subagents run parallel AI work without context chaos. Config, dispatch patterns, model choice, and the mistakes that waste tokens, with examples.
Configure Claude Code beyond defaults: skills, hooks, subagents, and CLAUDE.md memory. Working examples, team patterns, and common setup mistakes to avoid.
Build production-ready autonomous AI agents with LangGraph state machines. Complete guide with code examples covering state management, cyclical workflows, and human-in-the-loop patterns.
Learn how to build autonomous AI agents for CI/CD pipeline automation using LangGraph and modern frameworks. Reduce deployment time by 60% with autonomous code review, testing, and deployment.
Build powerful multimodal AI applications with GPT-4o and Gemini. Complete guide with code examples for image analysis, document processing, and visual debugging.
Learn how to build production-ready AI agents with LangChain. Complete guide covering architecture, memory systems, tool integration, and deployment strategies with real code examples.
Compare GitHub Copilot, Cursor, and Claude for AI-assisted coding. Complete guide with setup, best practices, productivity metrics, and ROI analysis for development teams.
Learn how to build autonomous AI agents using LangChain framework. Complete guide covering agent architecture, tool integration, and deployment strategies.