AI usage patterns in software teams
A report analyzing AI adoption patterns within software development teams using data from the platform Linear. It highlights a significant increase in AI feature usage across all roles, including executive leadership, between early and mid-2026.
Why it matters
Understanding how AI is integrated into professional workflows provides insight into the future of productivity and software development trends.
EDITION 01 - TIM QI (2026) Tens of thousands of teams build software inside Linear every day. Over six years that’s given us a detailed picture of how product development happens, from before AI was widely adopted to now.
Model companies and coding tools have published plenty on token usage and code volume, but that captures only one layer of the work. We’re unusually well placed to see the entire workflow behind building a product, from the first issue to the pull request that closes it. What we can’t see is AI usage that happens outside Linear, so this is a picture of adoption inside our own customer base, not the market at large.
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