Harness Report Reveals AI Coding Accelerates Development, DevOps Maturity in 2026 Isn't Keeping Pace
Study finds teams moving faster with AI are also taking on more deployment risk, manual rework, and burnout
SAN FRANCISCO, March 11, 2026 /PRNewswire/ -- Harness, the AI Software Delivery Platform™ company, today released a new study finding that while AI is accelerating code production, many organizations haven't modernized the delivery systems responsible for testing, securing, and deploying those changes. The result is more deployment instability, more manual downstream work, and increased pressure on engineering teams to keep releases running smoothly.
The State of DevOps Modernization 2026 – based on responses from 700 engineers and technical managers across the United States, the United Kingdom, France, Germany, and India – builds on the AI Velocity Paradox introduced in the 2025 State of AI in Software Engineering report, showing that while organizations are creating code faster, everything that happens after code — testing, securing, and deploying it — hasn't kept up. The impact shows up clearly in day-to-day delivery operations:
The findings reveal a clear pattern: the more frequently teams use AI coding tools, the faster they produce code — but the more strain their delivery systems experience. That strain is increasingly falling on engineering teams. On average, respondents say developers spend 36% of their time on repetitive manual tasks such as copy-paste configuration, human approvals, chasing tickets, and rerunning failed jobs. As delivery speeds increase, this operational burden is contributing to longer hours and rising developer burnout.
"AI coding tools have dramatically increased development velocity, but the rest of the delivery pipeline hasn't kept up," said Trevor Stuart, SVP and General Manager at Harness. "Last year, we found 78% of developers spend at least 30% of their time on manual, repetitive tasks. This year that number is even higher for many teams. What this tells us is that organizations are adopting AI to generate code, but not yet modernizing the processes, automation, and guardrails needed to handle that speed safely. If companies want AI to reduce burnout instead of increasing it, they need to modernize the entire software delivery lifecycle."
AI Speed Is Exposing Delivery Bottlenecks
The findings suggest that faster code generation is exposing weaknesses in downstream DevOps processes, where automation and standardization have not kept pace.
Across respondents:
The research also indicates that quality and security controls are struggling to keep up with increased delivery velocity. Among developers who use AI coding tools multiple times per day, 51% report more code quality or efficiency problems and 53% report more vulnerabilities and security incidents since adopting these tools.
Taken together, the findings suggest that without standardized foundations and automated guardrails, speed gains at the coding layer can translate into downstream friction, higher operational risk, and more strain on engineering teams.
Scaling AI-Driven Development Safely
"The organizations benefiting most from AI-driven development are the ones that have modernized their delivery foundations," Stuart added. "Standardized pipelines, automation, and built-in guardrails allow teams to move faster without sacrificing reliability or security."
To capture the benefits of AI-assisted development while reducing operational risk and developer burnout, organizations should focus on three priorities:
With these foundations in place, enterprises can move faster without sacrificing reliability, security, or developer well-being.
About the Research
This report is based on a survey of 700 engineering practitioners and managers from large enterprises, commissioned by Harness and conducted by independent research firm Coleman Parkes in February 2026. The sample included 300 respondents from the United States, and 100 each in the United Kingdom, Germany, France, and India.
About Harness
Harness is the AI Software Delivery Platform™ company, enabling engineering teams to build, test, and deliver software faster and more securely. Powered by Harness AI and the Software Delivery Knowledge Graph, the platform brings intelligent automation to every stage of the software delivery lifecycle after code—removing toil and freeing developers from manual, repetitive work. Companies like United Airlines, Morningstar, and Choice Hotels use Harness to accelerate releases by up to 75%, cut cloud costs by 60%, and achieve 10x efficiency across DevOps. Based in San Francisco, Harness is backed by Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures.
SOURCE Harness