Anthropic: How we built our multi-agent research system.
π° agents
Best Practices for Building Agentic AI Systems
Context Engineering for Agents
Agents need context to perform tasks. Context engineering is the art and science of filling the context window with just the right information at each step of an agentβs trajectory. In this post, I group context engineering into a few common strategies seen across many popular agents today.
weeklyfoo #96 / 2025-08-04Donβt Build Multi-Agents
Frameworks for LLM Agents have been surprisingly disappointing. I want to offer some principles for building agents based on our own trial & error, and explain why some tempting ideas are actually quite bad in practice.
weeklyfoo #101 / 2025-09-08Onboarding for coding agents
Why I'm Betting Against AI Agents in 2025 (Despite Building Them)
Iβve built 12+ production AI agent systems across development, DevOps, and data operations. Hereβs why the current hype around autonomous agents is mathematically impossible and what actually works in production.
weeklyfoo #95 / 2025-07-28