AI Coding Tools Produce 281% More Code in Month...

A Carnegie Mellon study tracked 807 GitHub projects that adopted Cursor (an AI-native code editor) and compared them against 1,380 control repos over 20 months. The result is the most detailed picture we have of what AI coding tools actually do to a codebase over time. The headline: developers wrote 281% more lines of code in the first month after adopting Cursor. By month two, the boost dropped to 48%. By month three, it was effectively zero. But code complexity increased 41% and static analysi