I'd consider myself a very experienced (~30 years), but mediocre dev, and this AI thing has completely transformed my capabilities as a software developer. People compare AI to a "smart junior" or something like it. To me, it's more the mentor I never had. When I have AI review code that I wrote, I will point out things I would either have never thought of, or would have taken me weeks or months of going back and forth to figure out. There are lots of things in software development that I hate doing, such as CSS/HTML, AI is now filling the gap that used to be an obstacle for me. With AI this now has become fun as it feels like I am not alone working on this thing. What it produces, I can understand and I review its work as well as vica-verca. I mostly use it in assistant mode. I do not have an army of agents running (yet).
I don't know how people steer multiple agent sessions in parallel. The constant cognitive switching is exhausting and you miss moments unless you are cli jumping. It is like being an operator.
Only use chatting to get answers for various things, often cross referenced with Google results, dedicated forums, and reddit. For programming/software work I use it to try to find problems with my architectural/design decisions, find new libraries, and best practices. I do not use it for code gen, instead I leverage high level deterministic (non ai) tools to do more with less code.
I agree with this, but I’m also curious: what would have to change before that advice is as sound as “write a little bit of assembly by hand” or the even more ridiculous “just write the raw bytes for the program in a hex editor?”
I was made redundant (from a web dev job) a couple of years ago, and have been looking for a new job. But the thought of coding with an LLM gives me the heebie jeebies. The very idea makes my skin crawl. I think I need to find a new industry. I don't yet know what.
I don't think it's wise to use it for anything. Even when chatting with an LLM you would have to check everything yourself which nobody would truly do. The generated code can't be really trusted (and nobody will review everything, quite the opposite). It can also have copyright issues.
People are allergic to articles and documentation generated/processed by LLM.
You're switching from an active role to a passive one, meaning your skill will suffer over the time. There is a huge difference between doing the things and thinking you know what it's doing. It's harder to review bad generated code because how polished it looks, compared to code made by humans where the difference is much more obvious.
Code assistants seem to work great when dealing with boilerplate, but wouldn't be better to get rid of the need for the boilerplate in the first place?
My flow is the AI writes most of the code, I closely review, question and tweak everything that comes out. My commits are about the same size as they were. Don't vibe code or one shot features.
For me, I used it find libraries to solve a problem that I didn't know about. Or to debug confusing error messages when library/language docs are insufficient.
pan69|1 day ago
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Yes, as a better autocomplete.
TRiG_Ireland|1 day ago
jezek2|1 day ago
People are allergic to articles and documentation generated/processed by LLM.
You're switching from an active role to a passive one, meaning your skill will suffer over the time. There is a huge difference between doing the things and thinking you know what it's doing. It's harder to review bad generated code because how polished it looks, compared to code made by humans where the difference is much more obvious.
Code assistants seem to work great when dealing with boilerplate, but wouldn't be better to get rid of the need for the boilerplate in the first place?
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