The Pulse: Interesting AI coding stats from Cursor
TLDR Dev ● Covered by 5 sources
Cursor released a report on two years of aggregated usage data showing that median developers generate 700 lines of code per week with the tool, while top 1% users generate 30,000-40,000 lines weekly. Input tokens account for 90% of token usage and 70% of costs, with Cursor's Composer model being approximately 10x cheaper per request than Anthropic's Opus 4.7, though similar in cost-per-line-accepted. Developer behavior shifted dramatically in one month from 10% to 40% of users allowing AI agents to commit code without manual review, correlating with the release of more capable models like Opus 4.7 and GPT-5.5.
Why it matters
A recent report from Cursor shows large disparities in coding productivity among its users, with top 1% power users generating up to 40,000 lines of code per week, compared to the median user's 700 lines. The study also shows that input tokens make up about 90% of AI token usage during coding, suggesting developers spend more time reading and understanding existing code than writing new code.