Cursor published their Spring 2026 developer habits report, and the most surprising stat to me isn’t about speed. It’s about trust. In January, 7% of AI-generated diffs were accepted without manual review. By May, it’s 38%. Developers are now letting nearly 4 in 10 AI changes commit directly without looking at them. The context shift probably explains why this is working. The input-to-output token ratio went from 4.52x in January to a peak of 13x in April, settling at 11.4x in May. Over 92% of non-cache token volume is now on the input side - models are spending far more time reading before writing. And AI code that survives 60 minutes in the codebase rose from 76% to 80.6% over the same period. The productivity distribution is extreme. P99 developers produce 46x more AI-generated lines per day than the median active user; p90 produces 10x more. The gap is widening at the tail faster than at the median. One thing the report doesn’t answer: how much of the 38% auto-accept rate is calibrated trust vs. people just hitting accept all without reading. The survival data says the output quality is improving, but I’d want to know what happens to the 20% that doesn’t survive 60 minutes. What’s your actual workflow for deciding when to auto-accept vs. manually review AI diffs? submitted by /u/jimmytoan
Originally posted by u/jimmytoan on r/ClaudeCode