TL;DR: Anthropic has outlined six distinct agent patterns for AI engineers, providing a practical taxonomy for designing and implementing AI systems.
Summary: Anthropic has detailed six core agent patterns for AI engineers, including prompt chaining, routing, parallelization, orchestrator-workers, evaluator-optimizer, and autonomous agents. This taxonomy categorizes approaches from fixed-step workflows to self-planning systems, offering guidance on when to apply each pattern based on task complexity and desired outcomes.
Why it matters: This framework helps AI builders choose appropriate architectures for their agentic applications, improving design efficiency and system robustness. Developers should review these patterns to align their agent designs with best practices and common production use cases.
Source: x_com