Building more effective AI agents
Anthropic’s Alex Albert (Claude Relations) sits down with Erik (Multi-Agent Research and co-author of our blog post, Building Effective Agents) for a discussion on the evolution of agents over the past six months, including tips for building multi-agent systems, common multi-agent patterns, and best practices for using skills, MCP servers, and tools. 00:00 - Introductions 00:35 - Training Claude to tackle agentic tasks 1:30 - Making Claude more autonomous with code 3:20 - Using the Claude Agent SDK to build agents 5:00 - Tips for using Agent Skills 6:40 - The evolution of workflows and agents (workflows of agents) 8:30 - The value of simple agent architectures 9:30 - Building multi-agent systems: orchestrators, subagents, and tool calling 11:40 - Training Claude to use subagents 12:25 - Multi-agent use design patterns: parallelization, MapReduce, and test-time compute 13:20 - Coordinating problem solving with tools and subagents 14:15 - Common agent failure modes 15:00 - Best practices for getting started with building agents (context engineering, MCPs, and tools) 17:15 - The future of agents: coding, computer use, and beyond Read the original blog post: https://www.anthropic.com/engineering/building-effective-agents Learn more about Agent Skills: https://www.anthropic.com/engineering/equipping-agents-for-the-real-world-with-agent-skills
