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Joined 2 years ago
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Cake day: October 28th, 2024

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  • I never said speed was all that mattered. But from my experience, and my other friends in the industry, it is possible to achieve speed while maintaining quality. security, and maintainability. Because these are all things that the AI can look for too. Just look at how many vulnerabilities AI is finding nowadays. Just like any other product manager, you can bring up concerns, ask the AI to look into them, and validate the AI’s claims. Just like you would manage a team of engineers. Which is of course still faster than writing everything yourself.

    If all you ask the AI to do is produce lines of code, that’s all it will do. But AI workflows can be far more complex than that.















  • Tell me then, was the problem solved, the work done by the LLM?

    partially

    Was it considered good enough for a mainbranch?

    Probably, if it took multiple experts to catch the bug.

    Or was it faulty/risky and require highly trained experts to catch? Then flagged, and only put into an experimental branch?

    As happens with human code all the time

    How many ex-Oracle memory experts do you think are available for this work, in which even Linus didn’t catch the race condition?

    No idea, at least one.

    A competent person like Linus can manage and direct competent code generation, whether that code is generated by an AI or an intern.