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vb-8448 | 15 days ago

It must be refactored: IBM is hopping that juniors(less paid) with AI can be sold as seniors.

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K0balt|15 days ago

Tbh, getting good results from ai requires senior level intuition. You can be rusty as hell and not even middling in the language being used, but you have to understand data structures and architecture more than ever to get non-shit results. If you just vibe it, you’ll eventually end up with a mountain of crap that works sort of, and since you’re not doing the coding, you can’t really figure it out as you go along. Sometimes it can work to naively make a thing and then have it rewritten from scratch properly though, so that might be the path.

neya|15 days ago

100% accurate. The architect matters so much more than people think. The most common counter argument to this I've seen on reddit are the vibe coders (particularly inside v0 and lovable subreddits) claiming they built an app that makes $x0,000 over a weekend, so who needs (senior) software engineers and the like? A few weeks later, there's almost always a listing for a technical co-founder or a CTO with experience on their careers page or LinkedIn :)))

Ancalagon|15 days ago

This mirrors my experience exactly. Vibe coding straight up does not work for any serious code.

MattDamonSpace|15 days ago

Still a wildly different thesis than the “juniors are fucked, ladder’s been raised”

vb-8448|15 days ago

just to be clear: from my standpoint it's the worst period ever being a junior in tech, you are not "fucked" if you are junior, but hard times are ahead of you.

deadbabe|15 days ago

IMO I have found that juniors working with AI is basically just like subscribing to an expensive AI agent.

sigmoid10|15 days ago

IMO with the latest generation (gpt codex 5.3 and claude 4.6) most devs could probably be replaced by AI. They can do stuff that I've seen senior devs fail at. When I have a question about a co-workers project, I no longer ask them and instead immediately let copilot have a look at the repo and it will be faster and more accurate at identifying the root cause of issues than humans who actually worked on the project. I've yet to find a scenario where they fail. I'm sure there are still edge cases, but I'm starting to doubt humans will matter in them for long. At this point we really just need better harnesses for these models, but in terms of capabilities they may as well take over now.

giantg2|15 days ago

[flagged]

vb-8448|15 days ago

ehm ... it's basically what all big consultancies have been doing in the last 20 years .. and they made tons of money with this model.