this post was submitted on 05 Feb 2024
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I use AI heavily at work now. But I don't use it to generate code.
I mainly use it instead of googling and skimming articles to get information quickly and allow follow up questions.
I do use it for boring refactoring stuff though.
In its current state it will never replace developers. But it will likely mean you need less developers.
The speed at which our latest juniors can pick up a new language or framework by leaning on LLMs is quite astounding. It's definitely going to be a big shift in the industry.
At the end of the day our job is to automate things so tasks require less staff. We're just getting a taste of our own medicine.
Those are also the main uses cases I use it for.
Really good for getting a quick overview over a new topic and also really good at proposing different solutions/algorithms for issues when you describe the issue.
Doesn't always respond correctly but at least gives you the terminology you need to follow up with a web search.
Also very good for generating boilerplate code. Like here's a sample JSON, generate the corresponding C# classes for use with System.Text.Json.JsonSerializer.
Hopefully the hardware requirements will come down as the technology gets more mature or hardware gets faster so you can run your own "coding assistant" on your development machine.
That's been my experience as well, it's faster to write a query for a model than to google and go through bunch of blogs or stackoverflow discussions. It's not always right, but that's also true for stuff you find online. The big advantage is that you get a response tailored to what you're actually trying to do, and like you said, if it's incorrect at least now you know what to look for.
And you can run pretrained models locally already if you have a relatively beefy machine. FauxPilot is an example. I imagine in a few years running local models is going to become a lot more accessible.