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#vibecoding

29 posts20 participants0 posts today

I realize there's a lot of AI-skepticism on Mastodon, but I think it's important to track how AI is being used more widely. So I spoke to GitLab's head of Field CTOs Brian Wald about how enterprises are implementing AI technology. Among other things, we discussed whether IT departments allow #VibeCoding, what types of AI #agents enterprises are building, how the #developer role is shifting to an architect-type role, and GitLab's own AI strategy. thenewstack.io/the-field-cto-v

The New Stack · The Field CTO View: AI, Vibe Coding, and Developer SkillsetsHow is AI actually being implemented in enterprise IT departments? And how are developers adapting? We ask GitLab's head of Field CTOs.

What editor/IDE + extensions are you using for AI coding agents?

Theo said in his last video that VSCode lacks key features for this, hence forks like Codeium/Windsurf, or Cursor exist.

I want to try Gemini via my Google API key and run Qwen3:30B locally with Ollama (no extra subs).

Ideally, without creating a new VSCode profile.

I might be missing some recent tools—curious what you all recommend.

#ai#cursor#windsurf

People are talking about #vibeCoding like it could make everyone capable of writing an app in a day. I'm starting to see future legitimacy of vibe coding, but I think it's still slop unless you have an excellent engineer driving the vibe, and what they've called "vibe coding" still doesn't exist if you consider the lifetime of software (alpha/beta, feature requests, big fixes, and availability). #AI #LLMs #FutureOfWork

Quality software begins with quality thinking... and so far #AI and #LLM generated software is not even close to exhibiting thinking, let alone quality thinking.

No, it's not enough to get "excellent" at prompt engineering. You need to understand code, abstractions, layered architectures and much more.

Today is therefore possibly the best day to start learning #programming. In a few years when all #Vibecoding projects have entirely killed software quality there will will be in massive demand for human developers and there will be a shortage given today's hype about LLM generated "software".

Don't be tricked into believing that machines will replace you and that prompt engineering will be the only thing required.

I will allow myself to stretch as far to say that they will become a tool at your disposal, but no, they will not replace you. Those that believe replacing is an option, let them continue to think that and leave them to their fate. That thinking will eventually Darwin itself out of the equation.

🙅 Vibe Coding is not an excuse for low-quality work

「 In fact, studies and anecdotes suggest senior devs get more value from AI coding tools than juniors. The reason is clear: seniors have the knowledge to steer the AI properly and fix its mistakes. Juniors may be tempted to treat the AI as an infallible authority, which it isn’t 」

addyo.substack.com/p/vibe-codi

Elevate · Vibe Coding is not an excuse for low-quality workBy Addy Osmani

The Post-Developer Era
— Josh W. Comeau

「 It seems to me like we’ve reached the point in the technology curve where progress starts becoming more incremental; it’s been a while since anything truly game-changing has come out. Each new model is a little bit better, but it’s more about improving the things it already does well rather than conquering all-new problems 」

joshwcomeau.com/blog/the-post-

www.joshwcomeau.comThe Post-Developer Era • Josh W. ComeauWhen OpenAI released GPT-4 back in March 2023, they kickstarted the AI revolution. The consensus online was that front-end development jobs would be totally eliminated within a year or two.Well, it’s been more than two years since then, and I thought it was worth revisiting some of those early predictions, and seeing if we can glean any insights about where things are headed.

Alright, so let's keep it real for a moment. Have there been any entirely vibecoded SaaS-applications with actual revenue and success beyond the ... "trivial"?

I'm genuinely curious because I'm currently of the opinion that LLM-generated code is not fit for purpose and will not result in any significant applications with decent quality and longevity.

But I also don't want to be stubborn enough to entirely dismiss the idea... but I would like to be convinced by examples.

Go read Peter Naur's "Programming as Theory Building" and then come back and tell me that LLMs can replace human programmers
—ratfactor

「 Neither machine code nor source code contain the wisdom of knowing how the program works. Nor does it contain the wisdom to know why the program was written the way it was instead of some other way that would have accomplished the same task 」

ratfactor.com/cards/naur-vs-ll

ratfactor.comGo read Peter Naur's "Programming as Theory Building" and then come back and tell me that LLMs can replace human programmers - ratfactor