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.
Working code for building multimodal apps with GPT-4o and Gemini, covering image analysis, document processing, visual debugging, and design-to-code.
How to build AI agents with LangChain that hold up in production: architecture, memory, tool integration, and deployment patterns, with working code.
How GitHub Copilot, Cursor, and Claude actually compare for day-to-day coding work. Setup, productivity numbers, ROI math, and where each tool falls down.
How to build autonomous AI agents with LangChain: agent architecture, tool integration, memory, and what holds up when you actually deploy them.