AI Agent Development

AI Agent development involves building systems where LLMs autonomously plan tasks, use tools, make decisions, and execute multi-step workflows. Unlike simple chat interfaces, agents can browse the web, write code, query databases, call APIs, and coordinate with other agents to accomplish complex goals. This is the fastest-growing area in AI engineering, with frameworks like LangGraph, CrewAI, and AutoGen enabling sophisticated multi-agent systems. Agent development requires understanding planning algorithms, tool use, memory management, and safety guardrails.