zlacker

>>meetpa+(OP)
My frustration with using these models for programming in the past has largely been around their tendency to hallucinate APIs that simply don't exist. The Gemini 2.5 models, both pro and flash, seem significantly less susceptible to this than any other model I've tried.

There are still significant limitations, no amount of prompting will get current models to approach abstraction and architecture the way a person does. But I'm finding that these Gemini models are finally able to replace searches and stackoverflow for a lot of my day-to-day programming.

>>segpha+J4
> no amount of prompting will get current models to approach abstraction and architecture the way a person does

I find this sentiment increasingly worrisome. It's entirely clear that every last human will be beaten on code design in the upcoming years (I am not going to argue if it's 1 or 5 years away, who cares?)

I wished people would just stop holding on to what amounts to nothing, and think and talk more about what can be done in a new world. We need good ideas and I think this could be a place to advance them.

>>jstumm+jH
I code with multiple LLMs every day and build products that use LLM tech under the hood. I dont think we're anywhere near LLMs being good at code design. Existing models make _tons_ of basic mistakes and require supervision even for relatively simple coding tasks in popular languages, and its worse for languages and frameworks that are less represented in public sources of training data. I am _frequently_ having to tell Claude/ChatGPT to clean up basic architectural and design defects. Theres no way I would trust this unsupervised.

Can you point to _any_ evidence to support that human software development abilities will be eclipsed by LLMs other than trying to predict which part of the S-curve we're on?

>>ssalaz+gg1
> I code with multiple LLMs every day and build products that use LLM tech under the hood. I dont think we're anywhere near LLMs being good at code design.

I too use multiple LLMs every day to help with my development work. And I agree with this statement. But, I also recognize that just when we think that LLMs are hitting a ceiling, they turn around and surprise us. A lot of progress is being made on the LLMs, but also on tools like code editors. A very large number of very smart people are focused on this front and a lot of resources are being directed here.

If the question is:

Will the LLMs get good at code design in 5 years?

I think the answer is:

Very likely.

I think we will still need software devs, but not as many as we do today.

>>cheema+k12
> I think we will still need software devs, but not as many as we do today.

I'm more of an optimist in that regard. Yes, if you're looking at a very specific feature set/product that needs to be maintained/develop, you'll need less devs for that.

But we're going to see the Jevons Paradox with AI generated code, just as we've seen that in the field of web development where few people are writing raw HTML anymore.

It's going to be fun when nontechnical people who'd maybe know a bit of excel start vibe coding a large amount of software, some of which will succeed and require maintenance. This maintenance might not involve a lot of direct coding either, but a good understanding of how software actually works.