CircleCI Publishes 2026 State of Software Delivery
Validation at scale becomes a key factor for top teams that more than double throughput year-over-year
The data reveals a key theme: Not all teams can accelerate software delivery by simply implementing AI in development practices. There is a widening gap between organizations that can effectively transform AI-driven acceleration into measurable business results and those that cannot. The data shows that success in the AI era is not determined by how quickly code can be written, but by the ability to validate, integrate, and ship code, and recover at scale.
AI isn't creating a performance gap; it's revealing it
Across all projects building on CircleCI, average throughput (the number of daily workflows run) grew 59% year over year. AI-powered code generation and agent-driven workflows are enabling teams to explore ideas, generate features, and iterate at unprecedented speed. A closer look at the throughput data shows that the across-the-board, year-over-year improvements are skewed by top-performing teams.
The top 5% of teams nearly doubled their throughput year over year, from 6.8 to 13.4 daily workflow runs. The top 10% and 25% of teams saw smaller but still significant increases of 47% and 25%, respectively. The median team, meanwhile, increased throughput by just 4%, while the bottom 25% saw no measurable increase.
"The industry is far past thinking about how to use AI to accelerate software delivery," said
Validation at scale separates winning teams from the rest
Elite teams are now shipping at levels that would overwhelm traditional delivery pipelines. At this scale, the bottleneck is no longer the speed at which developers work. When teams are validating tens of thousands of changes per day, delivery success depends on whether the underlying validation and deployment systems can keep up.
The winning teams are the ones converting raw coding speed into deployable changes. They can translate increased development activity into actual shipped changes. Predominantly, these teams are reducing feedback and recovery cycles to ease the strain caused by higher change volume.
To learn more about how your team stacks up, and to accelerate software delivery by leveraging AI-assisted development:
- Download the full 2026 State of Software Delivery report
- Join us for live discussions around validation in the AI era
Methodology
The 2026 State of Software Delivery Report analyzes data from nearly 28 million workflows from over 22,000 organizations in 149 countries. The data was collected within the first 28 days of
About CircleCI
CircleCI is a continuous integration and continuous delivery (CI/CD) platform enabling more than two million developers at companies including Okta, Hinge, and Hugging Face to build, test, and deploy software efficiently. Through pipeline automation, CircleCI helps teams manage complexity at AI scale, reducing the time from build to delivery by 3x the industry average. For more information, visit www.circleci.com or follow CircleCI on Twitter, LinkedIn, and YouTube.
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SOURCE Circle Internet Services, Inc., dba CircleCI
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