this post was submitted on 02 Feb 2026
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Only until AI investor money dries up and vibe coding gets very expensive quickly. Kinda how Uber isn't way cheaper than a taxi now.
I wouldn't be surprised if that's only a temporary problem - if it becomes one at all. People are quickly discovering ways to use LLMs more effectively, and open source models are starting to become competitive with commercial models. If we can continue finding ways to get more out of smaller, open-source models, then maybe we'll be able to run them on consumer or prosumer-grade hardware.
GPUs and TPUs have also been improving their energy efficiency. There seems to be a big commercial focus on that too, as energy availability is quickly becoming a bottleneck.
So far, there is serious cognitive step needed that LLM just can't do to get productive. They can output code but they don't understand what's going on. They don't grasp architecture. Large projects don't fit on their token window. Debugging something vague doesn't work. Fact checking isn't something they do well.
There's a remarkably effective solution for this, that helps both humans and models alike - write documentation.
It's actually kind of funny how the LLM wave has sparked a renaissance of high-quality documentation. Who would have thought?
High-quality documentation assumes there's someone with experience working on this. That's not the vibe coding they're selling.
Complete hands-off no-review no-technical experience vibe coding is obviously snake oil, yeah.
This is a pretty large problem when it comes to learning about LLM-based tooling: lots of noise, very little signal.
I am not aware of what they are selling but every vibe coder i know produces obsessive amounts of documentation. It's kind of baked into the tool (if you use Claude Code at least), it will just naturally produce a lot of documentation.
Funnily enpugh, AI itself is a great tool to create that high quality documentation fairly efficiently, but obviously not autonomously.
Even complex systems can be documented up to a level that is easy and much less laborious for the subject experts and architects to comb through for fhe final version.