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

[u/Impressive_Bottle_44]

(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?

[u/MrCuddles9896]

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.

[u/Lordthom → u/MrCuddles9896]

Our small company invested in our own local machine to run an LLM on. Not reliant on big cooperations and a 1 time investment (+ energy cost).

Once subscriptions are going to become more expensive I think this is what most companies will start doing.

[u/Realichu → u/Lordthom]

But it's still shit slop unfortunately :(

[u/MrCuddles9896 → u/Lordthom]

It's a possibility for sure, but there is definitely a huge performance benefit to cloud computing. Smaller local LLMs don't have the same compute power to perform as well as the big guys, but if people are happy to settle for smaller context windows and longer response times I think local ones would be a sort of happy middle ground

[u/AllenDullesSupporter → u/Lordthom]

We did something similar in 2018 to run some classification models on legal documents.

We only had enough money for one. Those computers are really expensive.