Developer calls Jev 'AI built for backends' after trying it
After trying Jev, the author contrasts it with LLMs: sub-80ms, parallel and calibrated state, arguing it fits replacing LLMs for decisions in backend API pipelines.
Jev is the first time AI feels designed for backends. Remember the feeling when GPT-3 dropped and you realized the rules of software had changed forever? I had that exact same feeling messing with Jev yesterday. For 3 years, we’ve been forcing generative, autoregressive models into places they probably didn’t belong. The mental model with Jev feels completely different: LLMs → slow, deliberative, chatty, heavy Jev → sub-80ms, parallel, calibrated state Instead of asking an LLM to generate its way through API plumbing, you get something that feels purpose-built for backend systems. Maybe the interesting shift isn’t making LLMs faster. It’s building AI that doesn’t need to behave like an LLM in the first place.