Top
Best
New

Posted by ColinWright 1 day ago

We mourn our craft(nolanlawson.com)
627 points | 730 commentspage 12
tintor 1 day ago|
You can still do your craft as you did it before, but you can't expect to be paid for it as much as before.
pron 1 day ago||
Some people say that working with an agent or an agents orchestrator is like being a technical lead. But I've been a technical lead for quite a while, and the experience of working with an agent doesn't even come close. I think that when people talk about the agents' coding abilities they're talking about the average ability. But as a team lead, I don't care about average ability. I care only about the worst case. If I have any doubt that someone might not complete a task, or at least accurately explain why it's proving difficult, with at least 95% certainty, I won't assign them the task. If I have any doubt that the code they produce might not be up to snuff, I don't assign them the task. I don't need to review their code; they review each others'. When I have to review code I'm no longer a team lead but a programmer.

I often have one programming project I do myself, on the side, and recently I've been using coding agents. Their average ability is no doubt impressive for what they are. But they also make mistakes that not even a recent CS graduate with no experience would ever make (e.g. I asked the agent for it's guess as to why a test is failing; it suggested it might be due to a race condition with an operation that is started after the failing assertion). As a lead, if someone on the team is capable of making such a mistake even once, then that person can't really code, regardless of their average performance (just as someone who sometimes lands a plane in the wrong airport or even crashes without their being a catastrophich condition outside their control can't really fly regardless of their average performance). "This is more complicated than we though and would take longer than we expected" is something you hear a lot, but "sorry, I got confused" is something you never hear. A report by Anthropic last week said, "Claude will work autonomously to solve whatever problem I give it. So it’s important that the task verifier is nearly perfect, otherwise Claude will solve the wrong problem." Yeah, that's not something a team lead faces. I wish the agent could work like a team of programmers and I would be doing my familiar role of a project lead, but it doesn't.

The models do some things well. I believe that programming is an interesting mix of inductive and deductive thinking (https://pron.github.io/posts/people-dont-write-programs), and the models have the inductive part down. They can certainly understand what a codebase does faster than I can. But their deductive reasoning, especially when it comes to the details, is severely lacking (e.g. I asked the agent to document my code. It very quickly grasped the design and even inferred some important invariants, but when it saw an `assert` in one subroutine it documented it as guarding a certain invariant. The intended invariant was correct, it just wasn't the one the assertion was guarding). So I still (have to) work as a programmer when working with coding assistants, even if in a different way.

I've read about great successes at using coding agents in "serious" software, but what's common to those cases is that the people using the agents (Mitchell Hashimoto, antirez) are experts in the respective codebase. At the other end of the spectrum, people who aren't programmers can get some cool programs done, but I've yet to see anything produced in this way (by a non programmer) that I would call serious software.

I don't know what the future will bring, but at the moment, the craft isn't dead. When AI can really program, i.e. the experience is really like that of a team lead, I don't think that the death of programming would concern us, because once they get to that point, the agents will also likely be able to replace the team lead. And middle management. And the CTO, the CFO, and the CEO, and most of the users.

apitman 1 day ago|
> If I have any doubt that someone might not complete a task, or at least accurately explain why it's proving difficult, with at least 95% certainty, I won't assign them the task

It gets hard to compare AI to humans. You can ask the AI to do things you would never ask a human to do, like retry 1000 times until it works, or assign 20 agents to the same problem with slightly different prompts. Or re-do the entire thing with different aesthetics.

pron 1 day ago||
No doubt, I'm just saying that working with a coding agent is not even remotely similar to being a team lead. If a member of your team can't complete a task and can't accurately explain what the difficulty is, you're in trouble.
techbrovanguard 14 hours ago||
"ai is inevitable, stop resisting" — claude marketing department. if it was so invertible, why are you funding these psyops?
falloutx 7 hours ago|
Astroturfing on the internet is Anthropic's main business now.
ai_critic 1 day ago||
> We’ll miss the feeling of holding code in our hands and molding it like clay in the caress of a master sculptor.

Oh come on. 95% of the folks were gluing together shitty React components and slathering them with Tailwind classes.

paulhebert 1 day ago||
For what it’s worth I’ve followed the author for a long time and that does not describe the type of work he has done
Applejinx 1 day ago||
This. People are way too easily impressed. I don't think this easily-impressedness will generalize to most people in the real world.

If you really buy all that you'd be part of the investor class that crashed various video game companies upon seeing Google put together a rather lame visual stunt and have their AI say, and I quote because the above-the-fold AI response I never asked for has never been more appropriate to consult…

"The landscape of AI video game generation is experiencing a rapid evolution in 2025-2026, shifting from AI-assisted asset creation to the generation of entire interactive, playable 3D environments from text or image prompts. Leading initiatives like Google DeepMind's Project Genie and Microsoft's Muse are pioneering "world models" that can create, simulate physics, and render games in real-time."

And then you look at what it actually is.

Suuuure you will, unwanted AI google search first response. Suuure you will.

andai 1 day ago||
Ephemeralization: the ability thanks to technological advancement to do "more and more with less and less until eventually you can do everything with nothing." —Buckminster Fuller
orange-tourist 23 hours ago||
> will end up like some blacksmith’s tool in an archeological dig

guy who doesn't realize we still use hammers. This article was embarrassing to read.

mrandish 23 hours ago||
As a very old school programmer who taught myself assembler in 1982 on an 8-bit 4K micro, I don't see much to mourn here.

* People still craft wood furniture from felled trees entirely with hand tools. Some even make money doing it by calling it 'artisanal'. Nothing is stopping anyone from coding in any historical mode they like. Toggle switches, punch cards, paper tape, burning EPROMs, VT100, whatever.

* OP seems to be lamenting he may not be paid as much to expend hours doing "sleepless wrangling of some odd bug that eventually relents to the debugger at 2 AM." I've been there. Sometimes I'd feel mild satisfaction on solving a rat-hole problem but more often, it was significant relief. I never much liked that part of coding and began to see it as a failure mode. I found I got bigger bucks - and had more fun - the better I got at avoiding rat-hole problems in the first place.

* My entire journey creating software from ~1983 to ~2020 was about making a thing that solved someone's problem better, cheaper or faster - and, on a good day, we managed all three at once. At various times I ended up doing just about every aspect of it from low-level coding to CEO and back again, sometimes in the same day. Every role in the journey had major challenges. Some were interesting, a few were enjoyable, but most were just "what had to get done" to drag the product I'd dreamt up kicking and screaming into existence.

* From my first teenage hobby project to my first cassette-tape in-a-baggie game to a $200M revenue SaaS for F100, every improvement in coding from getting a floppy disk drive to an assembler with macros to an 80 column display to version control, new languages, libraries, IDEs and LLMs just helped "making the thing exist" be easier, faster and less painful.

* Eventually, to create even harder, bigger and better things I had to add others coding alongside me. Stepping into the player-coach role amplified my ability to bring new things into existence. It wasn't much at first because I had no idea how to manage programmers or projects but I started figuring it out and slowly got better. On a good day, using an LLM to help me "make the thing exist" feels a lot like when I first started being a player-coach. The frustration when it's 'two steps forward, one back' feels like deja vu. Much like current LLMs, my first part-time coding helpers weren't as good as I was and I didn't yet know how to help them do their best work. But it was still a net gain because there were more of them than me.

* The benefits of having more coders helping me really started paying off once I started recruiting coders who were much better programmers than I ever was. Getting there took a little ego adjustment on my part but what a difference! They had more experience, applied different patterns, knew to avoid problems I'd never seen and started coming up with some really good ideas. As LLMs get better and I get better at helping them help me - I hope that's were we're headed. It doesn't feel directionally different than the turbo-boost from my first floppy drive, macro-assembler, IDE or profiler but the impact is already greater with upside potential that's much higher still - and that's exciting.

jauntywundrkind 1 day ago||
My ability to ask questions & hone in on good answers is far better than it ever was. My ability to change course & iterate is far faster than it ever has been. I'm making far more informed decisions, far more able to make forays and see how things turn out, with low cost.

I could not be having a better time.

I liked coding! It was fun! But I mourned because I felt like I would never get out 1% of the ideas in my head. I was too slow, and working on shit in my free time just takes so much, is so hard, when there's so little fruitful reward at the end of a weekend.

But I can make incredible systems so fast. This is the craft I wanted to be doing. I feel incredibly relieved, feel such enormous weigh lifted, that maybe perhaps some of my little Inland Empire that lives purely in my head might perhaps make it's way to the rest of the world, possibly.

Huge respect for all the sadness and mourning. Yes too to that. But I cannot begin to state how burdened and sad I felt, so unable to get the work done, and it's a total flip, with incredible raw excitement and possibility before me.

That said, software used to reward such obsessive deep following pursuit, such leaning into problems. And I am very worried, long term, what happens to the incredible culture of incredible people working really hard together to build amazing systems.

FergusArgyll 1 day ago||
If you're programming for the art, you can continue. Someone who enjoys painting can do so even after the camera
apitman 1 day ago||
But you have to admit it loses a certain shine in the cases where you know that what you're doing is no longer solving a problem that could be solved simpler and cheaper another way.
kaffekaka 23 hours ago||
But understanding _how_ it solves the problem, and knowing you found the solution yourself might/will be something to strive for.
zeroonetwothree 1 day ago|||
As you probably know, painting changed quite a bit after cameras became common. I wonder if handcrafted code will have a similar shift, becoming more "artistic" :)
kaffekaka 23 hours ago||
It surely will.
coolThingsFirst 20 hours ago||
yup, you can do whatever you want if you don't need the $$$
zer00eyz 1 day ago|
If you want to build a house you still need plans. Would you rather cut boards by hand or have a power saw. Would you rather pound nails, pilot hole with a bit and brace and put in flat head screws... or would you want a nail gun and an impact driver.

And you still need plans.

Can you write a plan for a sturdy house, verify that it meets the plan that your nails went all the way in and in the right places?

You sure can.

Your product person, your directors, your clients might be able to do the same thing, it might look like a house but its a fire hazard, or in the case of most LLM generated code a security one.

The problem is that we moved to scrum and agile, where your requirements are pantomime and postit notes if your lucky, interpretive dance if you arent. Your job is figuring out how to turn that into something... and a big part of what YOU as an engineer do is tell other people "no thats dumb" without hurting their feelings.

IF AI coding is going to be successful then some things need to change: Requirements need to make a come back. GOOD UI needs to make a comeback (your dark pattern around cancelation, is now going to be at odds with an agent). Your hide the content behind a login or a pay wall wont work any more because again, end users have access too... the open web is back and by force. If a person can get in, we have code that can get in now.

There is a LOT of work that needs to get done, more than ever, stop looking back and start looking forward, because once you get past the hate and the hype there is a ton of potential to right some of the ill's of the last 20 years of tech.

More comments...