alt Hacker NewsReading this thread makes me feel like I'm taking crazy pills. The folks on this train in my team do not produce anything significant that we can rely on or use. A lot of hollow prototypes that join the prototype graveyard and code that needs extra scrutiny on critical areas ultimately leading to taking longer.
It's a shame, they were smart and productive engineers. Now? I guess everyone is just all-in on the slot machine.
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imadierich • yesterday at 5:06 PM
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This split in what different people or groups get out of LLMs is pervasive and really interesting. In the beginning I was dismissive of those with bad experience with a "you are holding the tool wrong" smugness. But as I read more and more experience, I see all combos and I now know my initial knee jerk conclusion was clearly wrong. There are newbie programmers getting good or bad results as well as experienced developers getting either flip of the coin. I don't know what to conclude. I really want to know what are the lines that explain these very different outcomes. Is it the types of problems being solved? The harnesses? The programming languages? FWIW, my experience has been that among my cohorts of mid to deeply experienced developers working in the domain of experimental physics, all have leveled up various degrees after adopting Sonnet and Opus level LLMs using claude code CLI in Python, C++ and web tech, small scale scripts up to multi-package novel system develop and green field as well as incremental development and code maintenance.