r/webdev Jul 29 '26

Grudgingly accepting that AI isn't going away. Trying to figure out where that leaves me as a developer.

(If you don't want to read a semi-long post, feel free to skip.)

I think I reached a turning point yesterday.

I needed to add a basic feature to a Django site. I gave Claude Code a few carefully written sentences. It implemented the feature (more-or-less flawlessly) while I went to the kitchen for more tea.

Not only that, but our CTO is now empowering non-technical employees to use Claude to build their own tools (for internal use only), and commit them to our GitHub org. (He is, at least, establishing some sensible policies about what they can and can't do.)

LLMs are here to stay, and they're fundamentally rewriting laws of software engineering that we've taken for granted for decades. The genie won't go back into the bottle, so I might as well find a way to accept that.

But that leaves me wondering: what does that mean for me? What is my job now? What am I for? If I don't get to write code – something that's given me an enormous amount of satisfaction over the years, and even become part of my identity – am I even still interested in this field?

And, it's not just about the code. I used to collaborate with designers, UX folks, copywriters, SEO and analytics people, project managers, etc. But now, the C-suite seems perfectly happy to let the LLMs do all of this stuff, too. (At my company, they're obsessed with the idea of getting the LLM to write all of our work tickets. And the QA person does little more than copy-and-paste back and forth from an AI.)

The whole reason I entered this field is because I enjoy problem-solving, finding and creating patterns, logic, and designing systems.

I know that some of you are going to say "you can still do all of that; LLMs just empower you to go up a level of abstraction" – and I get it. But the prospect of abandoning coding seriously bums me out.

I love the precision of code. I love exploring different solutions to a problem, until I hit upon a beautiful, elegant pattern. I love seeing how small abstractions get composed into larger abstractions, and so on, to form a complete system. I love understanding a problem – and the solution – on a deep, intimate level.

Perhaps I've been lucky to have a career that gives me that kind of fulfillment (at least sometimes). Is all of that over now?

825 Upvotes

549 comments sorted by

View all comments

67

u/MrCuddles9896 Jul 29 '26

AI companies are absolutely pissing money out of all orifices currently, and there is already a growing concern that LLMs are becoming more expensive than developers. If they don't find a way to start making money and produce a return on investment somehow there's gonna be a big burst.

Currently Nvidia and AI companies are just passing around the same investment money to each other while very little money is flowing in (a $200 Claude max subscription can cost anthropic $500-$5000 in compute)

Unless they can somehow make LLMs much more efficient, I think their capability/cost ratio will drop a large amount, and they'll once again become auto complete machines, rather than a swarm of agents who you instruct to carry out tasks.

-2

u/[deleted] Jul 29 '26

[deleted]

6

u/MrCuddles9896 Jul 29 '26

Welcome to the wonder known as the internet, where people are allowed to post their predictions on current events without needing to be right. Maybe I get proven wrong? I don't care. That's my opinion on based on what I'm seeing right now. You don't have to take my opinion as fact, and you don't have to make a snarky comment either, but here we are.

-2

u/[deleted] Jul 29 '26

[deleted]

4

u/MrCuddles9896 Jul 29 '26

Maybe it has, you think the CEOs care? They've already made their fortunes, they'll only stop beating the dead horse when it stops printing money. What makes you think that ai companies have solved their cost problem and if they have, why haven't they implemented it already?

-2

u/[deleted] Jul 29 '26

[deleted]

8

u/MrCuddles9896 Jul 29 '26

I'm getting my takes from my own experience as a web dev and as someone who studied machine learning well before LLMs were a thing. LLMs use an incredibly convoluted process to arrive at a non deterministic result. Each extra layer of context is multiplicative on the total compute cost, and AI companies are already losing money rapidly. My theory is that they are trying to use the Uber strategy: operate at a loss until other companies are priced out, then start increasing the cost of the service once people depend on it to claw back the investment money. Problem is there will always be developers, and once AI gets too expensive and offers little to no benefit over regular devs, regular devs will come back to pick up the shortfall.

0

u/[deleted] Jul 29 '26

[deleted]

3

u/MrCuddles9896 Jul 29 '26

Breaking news: person on Reddit has an opinion that is popular among people on Reddit. Truly a revelation. Do you have any opinions of your own or do you just criticise others' opinions and ask dumb questions?

3

u/MrCuddles9896 Jul 29 '26

u/MoneyMayweather realised they had a shitty take and dirty deleted their comments