Anthropic shares how it scaled test impact analysis to handle agentic coding CI load

Anthropic 如何重构测试影响分析服务以应对智能体编码带来的 CI 压力

Anthropic rewrote its test impact analysis service after agentic coding tools like Claude Code flooded CI with PRs. Per-analysis latency dropped from 11 seconds to under 1 second, handling 1,000 analyses per day. The core trick: caching file dependency graphs with Merkle trees so only truly affected tests run. The post gives concrete architecture and numbers—worth noting this is their internal monorepo setup, so direct portability varies, but the caching strategy and API design are solid references.

Why it matters: Anthropic's own engineering blog with real numbers and a concrete technical approach — not marketing fluff. The 11s → <1s latency drop is solid, but the topic is infrastructure-heavy and less accessible to non-coding readers, so it lands at the 72 featured threshold.