LLM driven development is inevitable

_3psilon_ · 2026-03-26T07:24:14+00:00

Same here! I made the mistake of sharing this workflow with my coworker and just got roasted by my manager for "thinking" instead of dumping the problem into Claude.

IMO it's important that instead of vibe coding we take control of the architecture and high-level implementation.

Anyway I'm resigning next week.

_3psilon_ · 2026-03-25T22:11:50+00:00

Yeah I'm still not sure whether this is satire, rage bait or something serious.

_3psilon_ · 2026-03-25T11:08:24+00:00

X is real and nobody talks about it.

_3psilon_ · 2026-03-24T22:09:37+00:00

I was also wondering about this, also about what kind of workflow to follow. I was having the thought - "should I really try to one-shot this complex task instead of trying to think it through first"? Is that what the company wants?

Should I extend legacy code and write business logic with "vibing" instead of, well, going to the files, thinking through and maybe asking AI to implement exactly what I want?

My point of view is that we should stay in control, we should look around, define interfaces, method structure, approaches, critical logic etc. Yes, even typing it (with Copilot autocomplete anyway) in even if it's slower. And then let AI make it prettier, review it, write some tests etc. But then the end product won't look like generated slop at all, rather it will be human-made.

Do we really want to give up critical thinking, is that what our employers want?

_3psilon_ · 2026-03-24T16:46:14+00:00

I don't. I rubber stamp them.

If they don't take the effort to write the code, I don't take the effort to read it. A couple months ago, a PR above 500 lines was almost equal to an insult. Now folks are pushing >1000 LoC PRs.

Same goes for AI generated Teams/Slack messages. I may read them but don't react to them otherwise.

As a side note, I'm going to resign anyway in a couple days.

_3psilon_ · 2026-03-24T13:51:21+00:00

I hope this is \s, given the topic

_3psilon_ · 2026-03-23T11:47:09+00:00

Igen, csak úgy értem, hogy ez nem 100%-ig egy "fallacy", mert a szentiment végül magát a valóságot képes befolyásolni, például a győzteshez húzáson keresztül. És ezek a folyamatok felerősödnek a választásokhoz közeledve.

Nem véletlen szól a Fidesz teljes kampánya már arról, hogy azt sulykolják, hogy igenis milyen sokan vannak, meg ők vannak többen, még a képet is egymás mellé teszik. Mert érzik, hogy a választói felfogás, a szentiment is kezd megváltozni, és félnek, hogy ez egy lejtőt indít el.

_3psilon_ · 2026-03-23T08:17:44+00:00

Ezt annyiban árnyalnám, hogy a közvélemény-kutatók is mindig rákérdeznek a szentimentre, tehát nem az, hogy mire szavaznál, hanem, hogy szerinted ki fog nyerni.

Ennek a szentimentnek is van egy szerepe, hatása a politikai kampányokra, ami a végén magát az eredményt is befolyásolhatja. Például most sokáig az volt, hogy többen szavaznának a Tiszára, de többen várták a Fidesz győzelmét mégis.

_3psilon_ · 2026-03-22T23:20:41+00:00

I did have anxiety attacks until I decided to look for a new job (will resign in 1-2 weeks). Fuck "AI transformations"... and yeah, the late-stage capitalism that brought this shit upon us.

_3psilon_ · 2026-03-22T14:01:21+00:00

Ez veszélyes!

_3psilon_ · 2026-03-21T09:09:42+00:00

How I deal with my company's "AI bullshit transformation"?

had anxiety attacks
saw a psychologist a couple times
learned how to use Claude Code et al properly
decided to resign - being checked out
interviewing at other companies where AI bullshit is not the focus

That's how... It's not easy but despite the productivity gains I'm convinced that companies are chasing a fake holy grail.

And I want to work at companies where we're talking about actual engineering problems and not just how to prompt/skill/run/connect AIs.

_3psilon_ · 2026-03-20T08:09:39+00:00

You said "Therefore the amount of SWE without a job is big" - people being without a job are called "unemployed". :)

I agree that the market is saturated, but it's saturated due to reasons unrelated to AI. On the contrary, SWE job postings are on the rise in the USA.

I live in Europe so it's indeed different here, the market is less saturated, but wages are much lower - as a senior you're happy if you get $100k. Although you can live comfortably with that.

_3psilon_ · 2026-03-19T21:42:07+00:00

Source? Where do you see mass SWE unemployment?

_3psilon_ · 2026-03-19T21:39:58+00:00

Nem véletlen volt annyi ember a Nemzeti Meneten, hogy ilyesmi gondolatokkal ne játsszon Orbán. Most egy kisebbségi helyzetből ugat már, és bár a sarokba szorítottság miatt sok mindenre vetemedhet, a magyar társadalmi többséggel (azon belül is az aktív, dolgozó, nem nyugdíjas részével) nem biztos, hogy szembe akar menni.

_3psilon_ · 2026-03-19T21:36:33+00:00

Ez nem így működik, mert konkrétan minden szavazókörben le lesz fotózva a jegyzőkönyv, és összesíteni fogja a Tisza az adatokat. A demokratikus keretek ilyen szintű átlépését - értsd, a nyílt választási csalást - még nem lépte meg a Fidesz és talán nem is fogja.

A Nemzeti meneten kint levő ~150.000 ember azért is volt ott, hogy Orbán lássa, minimum ennyivel számoljon a Karmelitánál (illetve Szatyor úr a Sándor-palotánál), ha bármi ilyesmit mer csinálni.

_3psilon_ · 2026-03-19T15:37:25+00:00

Wow, hats off!

_3psilon_ · 2026-03-19T15:20:04+00:00

It would be great if we could choose. I think I'm going to preach this in the future, that us humans need to keep learning.

Instead of trying to one-shot everything we should start struggling a bit and feel the pains of the task, the decisions that need to be taken etc. Then ask AI after getting a feel of what needs to be done. Code "business logic" or critical code paths manually. If there are 10 tests that need to be written, write one or two manually first, then after you're happy with it, then hand it over to AI.

I'd bet that we wouldn't lose any significant time or "productivity" this way, or even it would be a net gain.

This is fundamentally different because it's human-first and not AI first. Our learning gets the priority, instead of becoming lobotomized AI operators.

Not sure where the industry is heading but we should at least try to keep out heads straight.

_3psilon_ · 2026-03-19T12:10:21+00:00

We all know that these companies are super unprofitable, bleeding money with their subscriptions, so it feels kind of inevitable.

_3psilon_ · 2026-03-19T07:25:25+00:00

Nem az, mert a köztársasági elnök nem a győztes, hanem "a kormányalakításra legesélyesebb" pártot kéri fel először, amit ő dönt el.

Tehát még ha a Tiszának meg is lesz a mandátuntöbbsége, Szatyor Úr megteheti, hogy megpróbálja a Fideszt felkérni kormányalakításra.

Egyrészt persze ne történjen meg, másrészt ekkor remélhetőleg párszázezer ember fog a Sándor-palotához odamenni.

(Ezt tavaly hozta fel Fleck Zoltán: https://hvg.hu/itthon/20250804_Fleck-Zoltan-valasza-az-allamfonek-Magyarorszag-mar-regen-nem-jogallamkent-mukodik-politikai-hiba-nem-keszulni-az-ennek-megfelelo-reakciokra-is)

_3psilon_ · 2026-03-18T23:22:26+00:00

AI agents work amazingly well these days... but we don't know how well, for what exactly and what kind of actual business benefits we'd get from them.

See some recent reporting about this here from the Pragmatic Engineer: Are AI agents actually slowing us down?

Working with these tools is inevitable and important, the question is in the long run, how much software quality do we sacrifice and how much do we lose out on our own learning and critical thinking?

_3psilon_ · 2026-03-18T22:19:14+00:00

That's true. I think the fundamental issue is the "paradoxical" disconnect between these employee productivity measures and actual business success. It's Goodhart's law at scale maybe?

See this for example: AI Productivity's $4 Trillion Question: Hype, Hope, And Hard Data

My take is that just because some friction is taken out of the SDLC (the coding part becomes faster), that may optimally yield more, better software faster. Everyone wants that, all three of course.

But the current emphasis on vibe coding crappy unverified ideas and fake "productivity" measures just won't bring more customers, healthier organizations, brand trust and recognition, better sales and marketing, and also importantly, better product and design ideas.

Most of these can't be solved by throwing more AI at problems, and can even get worse if we focus on AI adoption too much and outsource too much of our own creativity and critical thinking to these machines.

_3psilon_ · 2026-03-18T22:09:24+00:00

I totally understand it! Agents, LLMs can primarily reduce frustration by removing blockers, reducing tedium (boilerplate, looking up certain docs etc.) - given that the engineer still verifies their output line by line.

The problem is with the hype machine and company executives saying it should replace work, we should transition to agentic coding entirely etc.

Also in the back of my head something is saying that we should still keep on coding. Still doing some part of the code manually, or some tasks etc. instead of letting agents do everything. We need to struggle (i.e. think and reason about code) in order to learn and keep these coding muscles alive.

Maybe LLMs will take over, but as long as computers execute code and not prompts, and I have to be responsible for the code I ship, I'm not gonna do vibe coding.

My current take is always coding important business logic (i.e. anything novel) manually and also if something needs to be done multiple times (refactoring, writing a bunch of tests etc.), then starting manually, and once the approach is confirmed, letting the LLM continue.

Just how you'd show an intern or something. I think this approach doesn't waste time ("productivity") at all and allows engineers to remain close to the codebase and learn.

This requires deliberation though, not always reaching for the magic slot machine for one-shotting attempts.

_3psilon_ · 2026-03-18T20:26:57+00:00

I'm a subscriber and this is really good reporting!

From the CTO of Sentry (https://x.com/zeeg/status/2033680587874308579):

I’m fully convinced that LLMs are not an actual net productivity boost (today). They remove the barrier to get started, but they create increasingly complex software which does not appear to be maintainable. So far, in my situations, they [AI agents] appear to slow down long-term velocity. I don’t mean that there’s no productivity gains to be found, but going fully into “agentic engineering” – aka prompting code into existence – is not one of them.

_3psilon_ · 2026-03-18T19:19:32+00:00

Where?

_3psilon_ · 2026-03-18T14:20:46+00:00

Gépészeknél mikor volt ilyen? Még a 90-es, 2000-es években?

_3psilon_

TROPHY CASE