Anthropic engineer on self-improving agents, and why multi-agent workflows should be graphs, not lines
Aiden_Tech_Ai · x · 2026-09-11
- An Anthropic engineer's 45-minute talk argues the future of AI agents isn't better prompts but systems that improve themselves: remembering prior work, spotting mistakes, and folding lessons into the next run, with a breakdown of the feedback loops behind agentic engineering.
- The quoted article "Stop Building AI Agents in a Line. Start Drawing the Graph." contends most agent workflows are misdesigned rather than slow: it advocates graph-based orchestration over linear chains, introducing patterns like the fake-edge test, the diamond, and the checker, plus hidden failure modes of multi-agent systems.
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