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Re: Ask HN: How is AI-assisted coding going for you professionally?
Haven't seen this mentioned yet, but the worst part for me is that a lot of management LOVES to use Claude to generate 50 page design documents, PRDs, etc., and send them to us to "please review as soon as you can". Nobody reads it, not even the people making it. I'm watching some employees just generate endless slide decks of nonsense and then waffle when asked any specific questions. If any of that is read, it is by other peoples' Claude.
It has also enabled a few people to write code or plan out implementation details who haven't done so in a long (sometimes decade or more) time, and so I'm getting some bizarre suggestions.
Otherwise, it really does depend on what kind of code. I hand write prod code, and the only thing that AI can do is review it and point out bugs to me. But for other things, like a throwaway script to generate a bunch of data for load testing? Sure, why not.
viccis, 2 hours ago
Haven't seen this mentioned yet, but the worst part for me is that a lot of management LOVES to use Claude to generate 50 page design documents, PRDs, etc., and send them to us to "please review as soon as you can". Nobody reads it, not even the people making it. I'm watching some employees just generate endless slide decks of nonsense and then waffle when asked any specific questions. If any of that is read, it is by other peoples' Claude.
It has also enabled a few people to write code or plan out implementation details who haven't done so in a long (sometimes decade or more) time, and so I'm getting some bizarre suggestions.
Otherwise, it really does depend on what kind of code. I hand write prod code, and the only thing that AI can do is review it and point out bugs to me. But for other things, like a throwaway script to generate a bunch of data for load testing? Sure, why not.
viccis, 2 hours ago
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Forwarded from Go
If you’re working with Go and care about performance, then check out the https://goperf.dev/
Here you can find not theoretical, but practical patterns applicable to memory issues, concurrency, and overall, real bottlenecks you hit in production.
The guide has been recently updated with more depth (atomics, concurrency trade-offs, etc.), so worth revisiting even if you’ve seen it before.
Solid reference to keep bookmarked. Enjoy!
Here you can find not theoretical, but practical patterns applicable to memory issues, concurrency, and overall, real bottlenecks you hit in production.
The guide has been recently updated with more depth (atomics, concurrency trade-offs, etc.), so worth revisiting even if you’ve seen it before.
Solid reference to keep bookmarked. Enjoy!
goperf.dev
Go Optimization Guide
Patterns and Techniques for Writing High-Performance Applications with Go