All the leadership who made this mistake should be fired. They are clearly incompetent

But i guess it's always labor that pays the price

Jup. But the same goes for developers that go way too fast when setting up a project or library. 2-3 months in and everything is a mess. Weird function names, all one letter vars, no inversion of control, hardcoded things etc. Good luck fixing it.

As someone who has been a consultant/freelance dev for over 20 years now this is true. Lately I've been getting offers and contacts from places to essentially clean up the mess from LLMs/AI.

A lot of is pretty bad. It's a mess. But like I said I've been at it for awhile and I've seen this before when companies were offshoring anything and everything to India and surprise, surprise, they didn't learn anything. It's literally the exact same thing. Instead of an Indian guy that claims they know everything and will work for peanuts, it's AI pretty much stating the same shit.

I've been getting so many requests for gigs I've been hitting up random out of work devs on linkedin in my city and referring the jobs to them. I've burned through all my contacts that now I'm just reaching out to absolute strangers to get them work.

yes it's that bad (well bad for companies, it's fantastic for developers.)

What these companies didn't take the time to understand is, A.I. is a tool to make employees more efficient, not to replace them. Sadly the vast majority of these companies will also fail to learn this lesson now and will get rid of A.I. systems altogether rather than use them properly.

When I write a document for my employer I use A.I. as a research and planning assistant, not as the writer. I still put in the work writing the document, I just use A.I. to simplify the tedious data gathering and organizing.

I don’t know if it even helps with productivity that much. A lot of bosses think developers’ entire job is just churning out code when it’s actually like 50% coding and 50% listening to stakeholders, planning, collaborating with designers, etc. I mean, it’s fine for a quick Python script or whatever but that might save an experienced developer 20 minutes max.

And if you “write” me an email using Chat GPT and I just read a summary, what is the fucking point? All the nuance is lost. Specialized A.I. is great! I’m all for it combing through giant astronomy data sets or protein folding and stuff like that. But I don’t know that I’ve seen generative A.I. without a specific focus increase productivity very much.

Vibe coding is 5% asking for code and 95% cleaning up the code, turns out replacing people with AI is exactly the same.

Vibe coding is 5% asking for code and 95% cleaning up the code, turns out replacing people with AI is exactly the same.

This is what I fight against every goddamn day, and I get yelled at for fighting against it, but I’m not going to stop. I want to build shit that I can largely forget about (because, you know, it’s reliable and logically extensible and maintainable) after it gets to a mature state, and I’m not shy about making that known. This has led to more than a few significant conflicts over the course of my career. It has also led to me saying “I fucking told you so” more than a few times.

As someone who has been a consultant/freelance dev for over 20 years now this is true. Lately I've been getting offers and contacts from places to essentially clean up the mess from LLMs/AI.

A lot of is pretty bad. It's a mess. But like I said I've been at it for awhile and I've seen this before when companies were offshoring anything and everything to India and surprise, surprise, they didn't learn anything. It's literally the exact same thing. Instead of an Indian guy that claims they know everything and will work for peanuts, it's AI pretty much stating the same shit.

I've been getting so many requests for gigs I've been hitting up random out of work devs on linkedin in my city and referring the jobs to them. I've burned through all my contacts that now I'm just reaching out to absolute strangers to get them work.

yes it's that bad (well bad for companies, it's fantastic for developers.)

I just use A.I. to simplify the tedious data gathering and organizing.

If you're conscientious, you check AI's output the same way a conscientious licensed professional checks the work of an assistant before signing their name to it.

If you're more typical... you're at even greater risk trusting AI than you are when trusting an assistant who is trying to convince your bosses that they can do your job better than you.

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.

youre in luck, i offer consultation for consultancing, now give me money

I don’t know if it even helps with productivity that much. A lot of bosses think developers’ entire job is just churning out code when it’s actually like 50% coding and 50% listening to stakeholders, planning, collaborating with designers, etc. I mean, it’s fine for a quick Python script or whatever but that might save an experienced developer 20 minutes max.

And if you “write” me an email using Chat GPT and I just read a summary, what is the fucking point? All the nuance is lost. Specialized A.I. is great! I’m all for it combing through giant astronomy data sets or protein folding and stuff like that. But I don’t know that I’ve seen generative A.I. without a specific focus increase productivity very much.

I'm still not sure how this is any different than when I used stack exchange for exactly the same thing.

Well, SE code usually compiled and did what it said. I guess that part is different.

I just use A.I. to simplify the tedious data gathering and organizing.

If you're conscientious, you check AI's output the same way a conscientious licensed professional checks the work of an assistant before signing their name to it.

If you're more typical... you're at even greater risk trusting AI than you are when trusting an assistant who is trying to convince your bosses that they can do your job better than you.

As a senior developer, my most productive days are genuinely when I remove a lot of code. This might seem like negative productivity to a naive beancounter, but in fact this is my peak contribution to the software and the organization. Simplifying, optimizing, identifying what code is no longer needed, removing technical debt, improving maintainability, this is what requires most of my experience and skill and contextual knowledge to do safely and correctly. AI has no ability to do this in any meaningful way, and code bases filled with mostly AI generated code are bound to become an unmaintainable nightmare (which I will eventually be paid handsomely to fix, I suspect)

As someone who has been a consultant/freelance dev for over 20 years now this is true. Lately I've been getting offers and contacts from places to essentially clean up the mess from LLMs/AI.

A lot of is pretty bad. It's a mess. But like I said I've been at it for awhile and I've seen this before when companies were offshoring anything and everything to India and surprise, surprise, they didn't learn anything. It's literally the exact same thing. Instead of an Indian guy that claims they know everything and will work for peanuts, it's AI pretty much stating the same shit.

I've been getting so many requests for gigs I've been hitting up random out of work devs on linkedin in my city and referring the jobs to them. I've burned through all my contacts that now I'm just reaching out to absolute strangers to get them work.

yes it's that bad (well bad for companies, it's fantastic for developers.)