Companies That Tried to Save Money With AI Are Now Spending a Fortune Hiring People to Fix Its Mistakes
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Retired dev here, I'm curious about the nature of "the mess". Is it buggy AI-generated code that got into production? I know an active dev who uses ChatGTP every day, says it saves him a hell of a lot of work. What he does sounds like "vibe coding". If you're using AI for grunt work and keep a human is in the workflow to verify the code, I don't see how it would differ from junior devs working under a senior. Have some companies been using poorly managed all-AI tools or what? Sorry for the long question.
essentially, from what I've been dealing with, most if it is their offshore people using the AI to completely do the job from start to finish and no one is verifying anything. So it's not even vibe coding, it's "here's a prompt, build it, i'm pushing it to production" coding.
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I imagine you aren't talking about large companies that just let ai loose in their code base. Are these like companies that fired half their staff and realized llms couldn't make up for the difference, or small companies that tried to make new apps without a proper team and came up short?
primarily medium to large companies. the smaller startups seem to know better. the former laid off a bunch of staff and in most cases offshored the work to people who ONLY use AI to build things. A few rare cases it's been a Project Manager who paid for a Claude.ai subscription and had it build things from start to finish then push to production. If I see something that has a gradient background I know they had Claude build it.
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Same thing happened during the outsourcing craze of early 2000s. Everything and I mean everything moved to India or Philippines. There's even a movie about it because it was so common. I and everyone else lost our jobs. about a year later the contracts expired and we all got jobs back and outsourcing is used in balance. Eventually ai use will be balanced I hope. It cannot replace us. Not yet anyways.
AI needs to be used as a tool for workers, not a replacement for workers. They will figure it out eventually.
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essentially, from what I've been dealing with, most if it is their offshore people using the AI to completely do the job from start to finish and no one is verifying anything. So it's not even vibe coding, it's "here's a prompt, build it, i'm pushing it to production" coding.
LOL, sort of like hiring the CEO's unemployed brother in law to build your new factory because he has a friend who knows about construction.
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To be fair, 0.2 + 0.1 = 0.30000000000000004
Welcome to the secret robot Internet
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AI as it exists today is only effective if used sparingly and cautiously by someone with domain knowledge who can identify the tasks (usually menial ones) that don't need a human touch.
The biggest point is that you must be an expert in the field you are using it in. I rarely get fooled by hallucinations and stupid bugs because they are glaringly obvious to me. The best use case is having the llm write code for using a library that has poor documentation, that am going to use once, and I am too lazy to learn.
These tools are scary when used by juniors, they are creating more work for everyone by using llms to code. I just imagine myself using this when I was a fresh grad, it is terrifying. It would have only been one step up from vibe coding. -
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Hope they lose billions!!
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AI as it exists today is only effective if used sparingly and cautiously by someone with domain knowledge who can identify the tasks (usually menial ones) that don't need a human touch.
This is the best description of current AI I've seen so far.
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The biggest point is that you must be an expert in the field you are using it in. I rarely get fooled by hallucinations and stupid bugs because they are glaringly obvious to me. The best use case is having the llm write code for using a library that has poor documentation, that am going to use once, and I am too lazy to learn.
These tools are scary when used by juniors, they are creating more work for everyone by using llms to code. I just imagine myself using this when I was a fresh grad, it is terrifying. It would have only been one step up from vibe coding.I feel so bad for recent grads. First COVID then AI/LLMs, it's such a bad time to be starting out. I feel so fortunate that I'm well into my career and can use AI responsibly without having to worry too much about it.
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This is the best description of current AI I've seen so far.
In the situation outlined, it can be pretty effective.
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The biggest point is that you must be an expert in the field you are using it in. I rarely get fooled by hallucinations and stupid bugs because they are glaringly obvious to me. The best use case is having the llm write code for using a library that has poor documentation, that am going to use once, and I am too lazy to learn.
These tools are scary when used by juniors, they are creating more work for everyone by using llms to code. I just imagine myself using this when I was a fresh grad, it is terrifying. It would have only been one step up from vibe coding.may well be a Gell-Mann amnesia simulator when used improperly.
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We've hired a bunch of Indian guys who are using AI to do their work... the results are marginally better than either approach independently.
Absent Indians using AI? The AI ouroboros?
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it doesn't look like just a gimmick anymore.
It still does
There is no value in arguing about subjective topics. Feels useful to me if you know how to use it, used to generate one of the worst and random pieces of code you could create.
