It’s a dead-end technology that cannot be relied upon for anything serious
I’m sorry you are completely wrong. Do LLMs produce slop? Yes. Are LLMs useful? Also yes. The software industry, at least at the high end, is transforming rapidly because of this technology. The question of whether or not LLMs and other generative AI techniques along those lines are generally applicable is still an open one. But at least in some industries such as software it is certainly not a dead-end technology that cannot be relied upon for anything serious.
I work in tech and I develop software. LLMs generate code a lot faster than a human, but it is simply worse code; it is buggier, it is less secure, and it is less technically correct to the specifications. It takes more time to get that code up to snuff after the fact, especially given the verbose bloated code bases created by LLMs, than to write it by hand such that it was correct from the start. Also considering the real costs of running these things in such a way that you get any sort of “usable” result ends up costing more than having an engineer do it right, I stand by my point.
This may have been an accurate assessment 18 months ago, but it is not anymore. If you’re not getting good results out of the latest models it’s more of a you problem than a model problem at this point. And not to be completely rude here but at the level of people getting paid 7 figures USD to develop software LLMs are being widely used for basically all code. We need to move past this cope about their capabilities.
Sure, and thats why all of these companies have to force us to use this shit with quotas, mandatory tooling, and chiding about being 100x devs and being left behind. I’ve yet to meet an LLM booster in a senior technical position that actually handles code in any meaningful way. You can find plenty of execs making claims about it though. You’re just saying shit
I’ve been through it with this shit at my last two workplaces. People are willing to claim the output is solid because they can just keep running agents non stop to fix their issues and run a quick skim over the output, a bit of extra agentic use to run some tests and call it a day. They don’t care about code quality anymore, if it runs, ship it.
I’ve seen people ship a ton of features at once. 3 PRs in a day, 250 file changes. Just quick skim it, or even better, get a senior dev to run the diff through another agent and have that agent review the code because the senior is too overworked on reviewing slop he has to outsource his job too. Approve it.
And when it breaks we just cross our fingers because nobody knows how any of it works.
I am not just saying shit. I am telling you, as a person working for such a company, that this is real and this is happening. This is not executives talking shit. Although yes executives do talk a lot of shit and have unrealistic expectations. Coding was never really the slowest part of software development anyway.
I’m sorry you are completely wrong. Do LLMs produce slop? Yes. Are LLMs useful? Also yes. The software industry, at least at the high end, is transforming rapidly because of this technology. The question of whether or not LLMs and other generative AI techniques along those lines are generally applicable is still an open one. But at least in some industries such as software it is certainly not a dead-end technology that cannot be relied upon for anything serious.
I work in tech and I develop software. LLMs generate code a lot faster than a human, but it is simply worse code; it is buggier, it is less secure, and it is less technically correct to the specifications. It takes more time to get that code up to snuff after the fact, especially given the verbose bloated code bases created by LLMs, than to write it by hand such that it was correct from the start. Also considering the real costs of running these things in such a way that you get any sort of “usable” result ends up costing more than having an engineer do it right, I stand by my point.
This may have been an accurate assessment 18 months ago, but it is not anymore. If you’re not getting good results out of the latest models it’s more of a you problem than a model problem at this point. And not to be completely rude here but at the level of people getting paid 7 figures USD to develop software LLMs are being widely used for basically all code. We need to move past this cope about their capabilities.
Sure, and thats why all of these companies have to force us to use this shit with quotas, mandatory tooling, and chiding about being 100x devs and being left behind. I’ve yet to meet an LLM booster in a senior technical position that actually handles code in any meaningful way. You can find plenty of execs making claims about it though. You’re just saying shit
I’ve been through it with this shit at my last two workplaces. People are willing to claim the output is solid because they can just keep running agents non stop to fix their issues and run a quick skim over the output, a bit of extra agentic use to run some tests and call it a day. They don’t care about code quality anymore, if it runs, ship it.
I’ve seen people ship a ton of features at once. 3 PRs in a day, 250 file changes. Just quick skim it, or even better, get a senior dev to run the diff through another agent and have that agent review the code because the senior is too overworked on reviewing slop he has to outsource his job too. Approve it.
And when it breaks we just cross our fingers because nobody knows how any of it works.
I am not just saying shit. I am telling you, as a person working for such a company, that this is real and this is happening. This is not executives talking shit. Although yes executives do talk a lot of shit and have unrealistic expectations. Coding was never really the slowest part of software development anyway.