Copilot/ChatGPT/etc. is useful when I need to look up certain implementation details, or even get some higher-level guidance for certain topics, but I've been in the industry long enough to know it's not the panacea the hype machine likes to pretend it is. - ThreadSky

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checknate.bsky.social • 55 days ago

Copilot/ChatGPT/etc. is useful when I need to look up certain implementation details, or even get some higher-level guidance for certain topics, but I've been in the industry long enough to know it's not the panacea the hype machine likes to pretend it is.

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musselwhite.dev•54 days ago

Yeah, it's useful as a rubber ducky that talks back. I also really like using it for context-aware code completion.

thomasfuchs.at•54 days ago

You're missing the whole point of rubberducking. It's literally more effective if you do not get answers.

This is because it makes you think about what you're asking, any replies to this are a distraction from this.

musselwhite.dev•54 days ago

I'm not missing the point of it, I used it as a baseline of comparison. The LLM model often gets the answer wrong, but the conversation stimulates my thought process as I try to get it to understand what I'm asking. Hence, it's like a rubber ducky that talks back.

thomasfuchs.at•54 days ago

That’s not rubberducking.
That’s having a conversation.

Basically diametrically opposite things.

musselwhite.dev•54 days ago

Or rubberducking is having a conversation with something that can't understand you. LLMs pretend to understand you, but they all use a random number generator and other techniques to avoid appearing deterministic. A rubber duck has 0 parameters compared to 72b, so there's nothing to randomize.

checknate.bsky.social•54 days ago

Agree on the rubber ducky. Also saves a bunch of time when solving an odd edge case. For me, the code completion is just meh, as it tends to make enough mistakes that I end up reviewing whatever it creates, often nullifying any time savings.

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