Andrew Ng on Agentic Coding Loops
AI寒武纪 · wechat · 2026-07-14
The article discusses "loop engineering" as a key paradigm for continuous software iteration by AI agents, breaking down three core loops based on Andrew Ng's insights. - **Agentic coding loops**: Given a PRD and an evaluation dataset, agents can write, test, and iterate on code autonomously until requirements are met. For example, when building a typing app, a coding agent worked continuously for nearly an hour, repeatedly using a browser to verify results. - **Developer feedback loops**: Instead of manual QA, developers now review versions, adjust requirements, update evaluations, and feed high-level decisions regarding product direction, UI details, and UX flows back to the agent. - **External feedback loops**: Slower but more authentic external signals are gathered via friend feedback, beta testers, and A/B testing to refine product judgment and PRDs. The article concludes that as coding agents accelerate development, engineers will increasingly act like product managers. The hardest part is no longer "writing code," but closing the loop between product vision, PRDs, and user feedback.
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