Technology
GitLab Research Reveals Organizations Are Generating AI Code Faster Than They Can Control It
SAN FRANCISCO, June 23, 2026--ALL REMOTE — GitLab Inc., the intelligent orchestration platform for DevSecOps, today released its AI Accountability Report. Conducted by The Harris Poll, the survey of 1,528 developers and technology buyers across six countries finds that as AI coding tools become standard infrastructure, the conversation is shifting from how fast teams can generate code to whether they can actually control what they are shipping.
About this update from Gitlab Inc.
New survey of 1,528 developers and technology buyers shows 80% say their organization adopted AI tools faster than it developed policies to govern them, and 92% report governance challenges with AI-generated code SAN FRANCISCO, June 23, 2026--(BUSINESS WIRE)--ALL REMOTE — GitLab Inc., the intelligent orchestration platform for DevSecOps, today released its AI Accountability Report. Conducted by The Harris Poll, the survey of 1,528 developers and technology buyers across six countries finds that as AI coding tools become standard infrastructure, the conversation is shifting from how fast teams can generate code to whether they can actually control what they are shipping. The report defines AI accountability as the organizational and technical capability to answer three questions about any line of AI-generated code: where did it come from, what was it meant to do, and who is responsible for it once it's in production? Most organizations cannot answer those questions today. AI coding adoption and ROI are strong. 91% of organizations have two or more AI coding tools in active use and 78% report that developers are writing and committing code faster since adopting AI tools. But speed is running ahead of control, with 43% of respondents reporting that they cannot reliably distinguish AI-generated code from human-written code in their own codebase. This comes with a forward-looking concern. 73% of respondents are concerned about the maintainability of AI-generated code in their organization's codebase, and 82% say it risks creating a new form of technical debt their organization is not yet prepared to manage. Key findings: Agentic AI delivering speed and control is the next frontier Traceability gaps leave organizations exposed Governance is the missing layer "AI coding tools have delivered on their promise of speed. But the events of the past few months, including supply chain attacks, reliability issues, and regulators tightening expectations around AI traceability and provenance are making clear that speed without control is a liability, not an advantage," said Manav Khurana, Chief Product and Marketing Officer at GitLab. "The teams thinking ahead are already asking the harder question: can we actually control all the code we’re generating? The organizations that will ship trusted software faster are the ones building the foundations of...