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AI Coding Stats from Cursor: Power Users, Token Spend, & Trust

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Originally published on The Pragmatic Engineer by Gergely Orosz

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AI Coding Stats from Cursor: Power Users, Token Spend, & Trust

Summary & Key Takeaways ​

  • Power users of AI coding tools generate ten times more lines of code than median users.
  • The majority of AI expenditure comes from input tokens rather than output tokens.
  • Almost 50% of AI-generated code changes are accepted by developers without manual review.
  • These statistics offer insights into developer productivity and trust in AI tools.

Our Commentary ​

These stats from Cursor are genuinely eye-opening. 10x code generation for power users? And nearly half of AI changes accepted without review? That's a level of trust and efficiency I didn't expect so soon. It makes me wonder about the quality of the code being generated and the potential for subtle bugs to slip through. We're definitely in a new era of development.

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