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I've used it for some smaller greenfield code with success. Like, write an Arduino program that performs a number of super-sampled analog readings, and performs
by magicalhippo 2y ago
I've used it for some smaller greenfield code with success. Like, write an Arduino program that performs a number of super-sampled analog readings, and performs a linear regression fit, printing the result to the serial port.
That sort of stuff can be very helpful to newbies in the DIY electronics world for example.
But for anything involving my $dayjob it's been fairly useless beyond writing unit test outlines.
- ianbutler 2y agoI use it everyday, it has to have good search and good static analysis built in. You also have to be very explanatory with a direct communication style. Our system imports the codebase so it can search and navigate plus we feed lsp errors directly to the LLM as development is happening.
- magicalhippo 2y ago> we feed lsp errors directly to the LLM as development is happening Yeah I guess that would help a lot. Stuck with a bit more primitive tools here, so that doesn't help.
- andix 2y ago> Like, write an Arduino program that performs stuff like that works amazing > But for anything involving my $dayjob it's been fairly useless beyond writing unit test outlines This was my opinion 3-6 months ago. But I think a lot of tools matured enough to already provide a lot of value for complex tasks. The difficult part is to learn when and how to use AI.
- nottorp 2y ago> That sort of stuff can be very helpful to newbies Yep, if it's newbie stuff there are enough tutorials out there for the LLM to have data. It's when you get off the tutorials and do the actual functionality of your project that they fail.