New analysis reveals builders are quickly adopting AI brokers, creating new challenges round coordination, management, and shipped software program.
SCOTTSDALE, Ariz., June 16, 2026 /PRNewswire/ — GitKraken right now launched a framework for understanding how software program improvement is evolving as AI brokers change into a core a part of the event course of, an idea referred to as Code Movement.
The announcement is accompanied by new analysis performed by GitKraken in Might 2026 amongst greater than 550 software program builders, revealing that AI adoption has moved nicely past experimentation.
Key findings embrace:
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96% of respondents reported some degree of AI adoption on their workforce
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65% mentioned greater than half of their workforce has adopted AI instruments
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30% actively run a number of AI brokers in parallel, with one other 33% experimenting with this observe
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28.5% are already permitting AI to function autonomously, both individually or alongside different brokers
“What’s altering is not simply how builders write code – it is how they work,” mentioned Matt Johnston, CEO of GitKraken. “More and more builders are more and more managing a number of brokers on ever rising swaths of labor, coordinating work throughout repositories, and evaluating AI-generated output. The problem is not producing code. It is methods to flip agent-generated code into high-quality, shipped software program – from plan to essential “
As AI adoption accelerates, builders are starting to work in ways in which had been unthinkable simply 6-12 months in the past. As a substitute of implementing a characteristic themselves, they might direct a number of brokers working in parallel, use totally different fashions for various duties, and spend extra time reviewing and coordinating work than producing it straight.
GitKraken’s analysis discovered that the highest makes use of of AI in software program improvement right now are:
These adjustments are creating a brand new set of challenges for engineering groups:
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Which fashions are finest suited to various kinds of work?
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What number of brokers ought to be operating concurrently?
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How ready is a repository for agent-driven improvement?
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How do groups keep requirements and context throughout parallel workstreams?
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How do organizations safely combine and merge dramatically bigger volumes of code?
GitKraken prospects coined the time period for this rising problem as Code Movement.
Code Movement describes how work strikes between builders, coding brokers, repositories, planning programs, evaluations, branches, and manufacturing environments. It encompasses the coordination, visibility, governance, and integration required to remodel AI-generated output into working software program.
