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GitLab has released its annual Global DevSecOps report, revealing a significant challenge emerging in software development: the "AI Paradox." While artificial intelligence dramatically accelerates the pace of coding, it simultaneously creates new bottlenecks related to tool sprawl, compliance, and collaboration. These inefficiencies are costing development teams nearly a full workday—seven hours per week per team member—undermining the very productivity gains AI promises to deliver. The report indicates that 85% of professionals see a platform engineering approach as the essential solution to unlock AI's full potential.
GitLab's survey identifies an "AI Paradox" where faster coding creates new bottlenecks.
DevSecOps professionals lose 7 hours per week to AI-related inefficiencies.
Tool sprawl is a major issue, with 49% of teams using more than five different AI tools.
85% believe agentic AI will be most successful within a platform engineering approach.
76% believe AI will lead to more engineers, not fewer, increasing the scale of code management.
Compliance is a growing challenge, with 70% stating AI makes compliance management more difficult.
The core of the AI Paradox lies in fragmented toolchains. The research found that 60% of teams use more than five tools for software development, and 49% use more than five AI tools specifically. This sprawl creates collaboration barriers and operational friction, wasting valuable time. Furthermore, the belief that AI will lead to more engineers (76%) rather than fewer suggests that the volume of code and the complexity of managing it will only increase, amplifying the need for a cohesive platform to maintain quality and security.
Manav Khurana, Chief Product and Marketing Officer at GitLab, explained the dynamic, stating, “This survey illustrates what we call the 'AI Paradox,’ where coding is faster than ever, yet the lack of quality, security, and speed across the software lifecycle is causing friction on the road to innovation. Toolchain fragmentation has created bottlenecks for developers, and AI agents are amplifying the issue."
Despite near-universal AI adoption plans (97%), the report underscores the enduring need for human oversight. Only 37% of professionals would trust AI to handle daily tasks without human review, and 73% have experienced problems with code created by "vibe coding." This highlights that essential human qualities like creativity and innovation remain irreplaceable. Simultaneously, AI is introducing new compliance complexities, with 70% of respondents agreeing it makes compliance more challenging. However, there is a strong belief (82%) that by 2027, compliance will be built directly into code and automatically applied, pointing toward a more integrated, platform-driven future.
The findings make a compelling case for consolidated, intelligent platforms that can orchestrate the entire software lifecycle. By reducing toolchain fragmentation and embedding governance, organizations can resolve the AI Paradox, turning potential speed into realized productivity and secure innovation.
GitLab is the most comprehensive, intelligent DevSecOps platform for software innovation. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100 trust GitLab to ship better, more secure software faster.
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