WorkThe story, in brief
AI Tools Accelerates Coding, but Not Overall Software Delivery, GitLab Research Finds
78% of developers code faster with AI. Yet software delivery hasn't budged. Here's why.
The KeyNews take
Why it matters
GitLab's research reveals the AI coding paradox: velocity gains at the developer level are being bottlenecked by testing, review, and governance—signaling a systemic workflow problem that leaders need to solve to unlock AI's true ROI.
The key facts
6 to know78% of developers report faster coding with AI tools
Overall software delivery acceleration has NOT occurred
Primary bottlenecks: downstream testing and review processes
Enterprise governance and traceability challenges emerging
Source: GitLab 2026 AI Accountability Report
Published: June 2026
Go to the source
InfoQ AI/MLinfoq.com
Publisher excerpt: GitLab's 2026 AI Accountability Report highlights an AI Paradox: although 78% of developers say they code faster, overall software delivery has not accelerated due to downstream testing and review bottlenecks and new challenges for enterprise governance and traceability. By Sergio De Simone