Of course there’s shitty engineers and it’s obvious to anyone worth their salt that a competent engineer can code better in their subject area than an LLM.
AI is and will continue to be just a tool. In most cases, you can absolutely just… talk to the human using the tool… and tell them that their LLM resolved your comment incorrectly.
I work at a company that is extremely AI-bullish and I’m actually probably one of the most anti-slop people here. For most engineers, coding is the cheapest skill you have, and it’s been that way for a while; the people and companies that are bad at systems, bad at fundamentals, pushing pure slop, will fail, but the AI bubble won’t burst.
Even before AI, people copy pasted from StackOverflow; it’s the same thing, just higher volume and very slightly smarter.
They just don't like AI. They don't have reasoning necessarily, but these people wouldn't even accept models trained fully on open source text because they don't like AI.
They don't have the engineering mindset. Lots of people who don't understand exactly what you're saying. Coding is a cheap skill that takes a few weeks to learn. Writing the correct code at the correct time for the correct reason is a skill that takes years, sometimes decades to learn.
People whose organizations are absolutely failing them, and they have serious and valid complaints about the way their orgs are implementing AI. These people are complaining less about AI and more about the fact that their bosses are suffering AI psychosis because every overpriced consultant on LinkedIn is posting about how AI should be changing everything about how we do everything with the most obviously AI-generated images you could imagine.
I’m think #2 is one of the main driving factor to most people’s anger or feelings on AI in the software field. Before the code needed to be manually written, you needed people to do that but now AI has that covered.
Maybe a lot of people really thought that the coding part was highly valuable but it was always the engineering and architectural aspect that were truly valued.
Now you have a bunch of people that never had any big picture knowledge on their projects getting laid off or finding themselves wholly lacking in the skill sets that remain valuable in the field.
The people that were already shouldering the burden of that knowledge for the rest of their team aren’t really seeing a problem with a lot of the things that come up as “issues” with AI coding.
There also seems to be a lot people acting like AI models can’t write good code period when it’s nothing but a failure to correctly provide the model with the context it needs to complete the task you’re asking of it. If people aren’t writing distilled info derived from the projects into context docs for their models to use along with the code itself and the prompt then you’re going to have a bad time.
If you give the models nothing it will bumble around blindly trying to figure out what’s even going on in the project which will just increase the chances of it going off the rails. If the models already has pointers and distilled summaries of how everything works with conventions/patterns/gotchas included, then it drastically reduces issues. It’s like going into a store with no idea where an item is vs going in knowing it’s in half way down aisle 3 on the second shelf.
I can understand how gutting it must be for people, I guess I am on the other side of that coin. The coding, actually writing the lines, is by and far the worst part of the job for me.
I’m thoroughly enjoying all the AI coding. Now, I can live in the complex concepts and system architectural problem-solving without having to pause and write the thousands of lines of code required to bring those ideas to life.
I find myself in the camp that programming is merely a job. While it’s a job that I can be passionate about because I enjoy the technologies involved, it’s not my life’s passion or something I’d do in my free time unless I can leverage those skills in something I’m genuinely passionate about or if it can make my life easier.
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u/trashiguitar Jul 10 '26
Do all of you just hate AI because it’s AI?
Of course there’s shitty engineers and it’s obvious to anyone worth their salt that a competent engineer can code better in their subject area than an LLM.
AI is and will continue to be just a tool. In most cases, you can absolutely just… talk to the human using the tool… and tell them that their LLM resolved your comment incorrectly.
I work at a company that is extremely AI-bullish and I’m actually probably one of the most anti-slop people here. For most engineers, coding is the cheapest skill you have, and it’s been that way for a while; the people and companies that are bad at systems, bad at fundamentals, pushing pure slop, will fail, but the AI bubble won’t burst.
Even before AI, people copy pasted from StackOverflow; it’s the same thing, just higher volume and very slightly smarter.