I was in the room at this year’s Pragmatic Summit when Laura Tacho dropped the numbers: nearly all developers use AI coding assistants, over a quarter of production code is AI-written - and yet productivity gains haven’t budged past 10%.
I had the chance to attend this year’s Pragmatic Summit and catch Laura Tacho – CTO at DX, executive advisor, and Austrian Innovator of the Year – in her keynote.
She presented her latest research, Measuring Developer Productivity & AI Impact, based on three months of data collected through February 1.
The research surveyed 121.000 developers across 450+ companies. A striking 92.6% of them use an AI coding assistant at least once a month, and roughly 75% use one weekly. Clearly, AI isn’t just a side experiment anymore, it’s part of the workflow.
Here are the top takeaways I found most compelling from Laura’s research.
The 10% productivity plateau
The first thing most people think of with AI assistance is saving time. According to the research, developers say they’re saving about 4 hours a week – pretty much the same as Q2 2025, with Q4 2025 numbers sitting around 3.6-3.7 hours.
It looks like the time-saving boost has leveled off. Productivity shows the same pattern: it jumped around 10% when AI first took off, and since then, it’s stayed steady at that level.
What’s really shifting is the amount of “AI-authored code” – that is, code that gets merged into the main repository or production environment with little to no human intervention. Laura breaks this down using the latest data:
Looking at about 4.2 million developers between November 2025 and February 2026, AI-authored code now makes up 26.9% of all production code – up from 22% last quarter. Daily AI users are also hitting a milestone: nearly a third of the code they merge, which passes review and goes into production, is written by AI.
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