Building effective agents

Anthropic's engineering team distills lessons from working with dozens of teams building LLM agents, recommending simple composable patterns over complex frameworks. The post distinguishes between workflows (predefined paths) and agents (dynamic, model-driven decisions), and provides concrete guidance on when each is appropriate. Key patterns covered include prompt chaining, parallelization, routing, orchestrators/subagents, and evaluator-optimizer loops.