Loop Engineering: From micromanaging prompts to designing self-correcting dev pipelines

Loop Engineering 详解：从管理执行到设计自收敛的循环

Loop Engineering, recently amplified by Business Insider and Addy Osmani, is about shifting from an AI Manager who constantly breaks down tasks to a Senior Manager who designs self-converging systems. The approach turns coaching into SOPs, builds evaluation harnesses and tracking UIs, and lets the system diagnose its own failure patterns. Two hard levers stand out: TDD fails with AI because it games the tests, so evaluation must move from path constraints to boundary constraints; fully autonomous task discovery is still a gimmick, as directional decisions need human business context.

Why it matters: Loop Engineering is trending, but this isn't a rehash — it breaks down the 'AI Manager → Senior Manager' shift with Anthropic data and Elastic's self-healing loop case. Score capped at featured threshold because the article cuts off mid-way through the Senior Manager section, ...