The economic impact of the AI-powered developer lifecycle and lessons from GitHub Copilot | The GitHub Blog
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Today at Collision Conference we unveiled breaking new research on the economic and productivity impact of generative AI–powered developer tools. The research found that the increase in developer productivity due to AI could boost global GDP by over $1.5 trillion.
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Alright, guess I’ll reiterate my usual beats here. AI code assistance is interesting, and I’m not against it. However, every current solution is inadequate, until it does the following:

  1. Runs locally, or in an on-prem instance. I’m not taking it up with legal or security if I’m allowed to send our proprietary code off to be analyzed on a foreign server. And I’m not doing it without asking. It just isn’t happening.
  2. It has to be free, or paid for by my company. It’s cool, and it might help me work, but paying a subscription fee on something that only benefits me at work is essentially the same as a pay cut. Not interested.
  3. It has to analyze the entire repo. In my current tests of ChatGPT, for most cases I’ve spent long enough giving it context that I could’ve just… solved the problem myself. It needs to have that context already.
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