How AI Adoption Deepens in an Engineering Org
SMRTR summary
Kilo's telemetry across 3 million developers reveals a consistent five-stage AI adoption curve: from autocomplete to autonomous agents running in CI/CD pipelines. Multi-file agentic work and parallel agents drive real org throughput, but most teams stall at stage two due to policy friction, usage caps, and missing context infrastructure. Measuring feature depth and workflow penetration matters more than billing dashboards.
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