Skip to content
AI HOT (Curated Pool)

Linear reworked its CI to keep up with AI coding, cutting PR wait from 6 min to 5 min

Linear 重构 CI 流程应对 AI 编码带来的验证瓶颈,PR 等待时间从 6 分钟降至 5 分钟

Linear's CTO assigned Mufeez Amjad to fix CI costs and speed. AI agents were shipping code faster than CI could validate it. They cut PR wait from over 6 min to just over 5 min and halved runner time per test, while the test suite nearly quadrupled. Four levers: switching to faster third-party runners with better caching, adopting the native tsgo compiler (73% drop in tsc median), rewriting type-dependent lint rules to pure syntax analysis, and shrinking gating jobs—change-detection median fell from 26s to 8s.

Why it matters: Linear's engineering team shares a concrete, data-backed fix for CI bottlenecks in the AI coding era—hits all three HKR axes. Capped at 72 rather than higher because it's a single-company engineering post, not an industry-level event or model release, but solidly qualifies for...

Read the original ↗Export Markdown