"Gartner estimates that by 2028, three-quarters of enterprise software engineers will use AI code assistants, up from less than 10% in early 2023."
"Across planning and design, AI reduces noise. Backlogs get de-duplicated, related items are grouped, and dependency-heavy work is surfaced earlier."
"AI can highlight suspicious diffs or missing tests, while humans have the final say, ensuring that reviews get crisper."
"The point is not about adding more tools. It is more about removing friction where teams already work and watch whether deployment frequency, lead time, failure rate, and recovery actually improve."
AI is becoming integral to software delivery, with projections indicating that by 2028, 75% of enterprise software engineers will utilize AI code assistants. This shift enhances the software development lifecycle by reducing noise in planning, improving testing efficiency, and streamlining releases. AI helps teams manage backlogs, identify risks, and connect deployment data with user impact. The focus is on removing friction in existing processes to improve key metrics like deployment frequency, lead time, failure rate, and recovery time.
#ai-in-software-development #devops-transformation #software-delivery-lifecycle #enterprise-software #dora-metrics
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