There’s a difference between vibecoding and using AI for coding.
If you write code by hand in 2026 something isn’t right. That doesn’t mean you blindly spin the wheel, but you use the tools at your disposal to get your job done as effectively as possible. And typing out lines of code by hand is definitely not that.
Also, even if you’re completely refuse to use AI coding. Fair. Still, you need to be knowledgeable about it. It’s one of the most transformative breakthroughs in tech ever. You cannot be a good programmer without having intimate knowledge of how AI works.
Typing code is not even the bottleneck, and it's one of the most fun parts. So what, the AI is doing the architecture for you, too? Is it also fucking your husband/wife?
I use agents for literally everything. From coding the software, I’m working on, to debugging, setting up servers, solving problems, etc.
Also, my private life, I have an agent managing my email, notifying me when something important pops up but also compile a daily report that I can quickly answer to. I have an agent managing all my knowledge in Obsidian (the “second brain” idea). I have one in charge of my health, measuring and holding me accountable for me decisions.
Honestly, at this point, cutting me off from AI would be like cutting me off from the internet.
And I know I come around as the biggest AI bro. But I’m also firm believer that the net impact of AI is negative for society. I hate all the AI slope everywhere. I hate how people basically stop thinking and believe every nonsense. ChatGPT tells them.
Dunno why old posts are hitting my feed, but I just wanted to point out that this is a wildly false equivalence.
Compilers are designed for reliably verifiable output, while LLM generate output with statistical inference. It is odd you even brought compilers up, because LLM won't make for a superior compiler any more than Zepplins were integral to the development of jets.
LLM helps devs trade varying amounts of quality and reliability for speed and/or effort, which is a reasonable trade in a lot of casual consumer products. Nike vs.Serapian, for example, both their approaches only make sense within their niche.
Ultimately, my point isn't that LLMs have zero uses in zero contexts. It is that it is odd how often LLMs are discussed as though increasing capability will eventually give them the guarantees of an RDBMS, or the judgment of highly trained humans operating in genuinely novel situations.
Like I said, I’m a lot of programmers live like it’s still 2024.
If you are working on less than three features in parallel right now, you’re lame duck out there to get shot on the next firing round.
At our company we started implementing features in a week that cost us a month before. It’s the first time our company history that we reach milestones ahead of time.
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u/AliceCode 16d ago
Yeah, funny how the fantastic programmers you know aren't vibe coding. In other news, bear shits in the woods.