AI coding has made CI a bottleneck, so we reworked ours to keep up
What happened
The team behind Linear discovered that the rapid increase in AI‑generated code was overwhelming their continuous integration (CI) system, causing slow builds and delayed feedback. To stay efficient, they redesigned their CI pipeline with smarter caching, parallelization, and AI‑aware testing strategies that can handle the higher volume and variability of code changes.
Why it matters
This highlights a growing pain point as AI coding tools become mainstream: development infrastructures must evolve to keep pace, prompting broader industry focus on scaling CI/CD pipelines for AI‑augmented software development.
Is this a big deal?
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