Vibe coding doesn't automatically mean lower quality. My codebase quality and overall app experience has improved since I started using agents to code. You can leverage AI to test as well as write new code.
> I assume most of their outages is related to this insane scaling and lack of available compute.
>
> Vibe coding doesn't automatically mean lower quality
You are talking about software scaling patterns, Anthropic is running into hardware limitations because they are maxing out entire datacenters. That's not an architectural decision it's a financial gamble to front-run tens of billions in capacity ahead of demand.
> What exactly are emergent features when vibe coding?
The LLM has no concept of "taste" on its own.
Scalability, in particular, is a problem that goes beyond the code itself and also includes decisions that happen outside of the codebase. Infrastructure and "platform" in particular has a big impact on how to scale an application and dataset.
[0] https://dornsife.usc.edu/news/stories/ai-may-be-making-us-th...
Personally I write something like 80-90% of my code with agents now but after they finish up, it's critical that you spin up another agent to clean up the code that the first one wrote.
Looking at their code it's clear they do not do this (or do this enough). Like the main file being something like 4000 LOC with 10 different functions all jammed in the same file. And this sort of pattern is all over the place in the code.
Spark is great for this kind of cleanup work because the feedback loop is so tight compared to just about anything else. It's quite hampered by a very small context window but in the context of cleanup/refactoring that's more of a feature than a bug IMHO.
My suggestion for folks that want to do this is make sure you keep reasoning low. The cleanup should be very much human directed and derived from your "taste", at that point you don't want the model to think at all and just blindly do what you tell it to. You want reasoning to be just high enough so it doesn't eff up the code in the process.