v0.3.1 was about speed, to bring an AI-generated app to a live URL in seconds, never building a container on the deploy path. The whole v0.4 line has been about everything around that hot path: making vibeD defensible, lean and extensible, without ever slowing the "the model wrote it, it's live" loop.
Here's what actually landed across v0.4.0 → v0.4.3.
v0.3.1 has some larger architectural changes and let me rethink the approach. I had to rebuilt the engine. The old build-and-deploy model (build a container image with Buildah, hand it to Knative) is gone, replaced by an architecture designed around a single goal: get an AI-generated app to a live URL in seconds, with hardware-grade isolation, and never build a container on the deploy path.
We're excited to announce the first public release of vibeD — the workload orchestrator purpose-built for GenAI-generated artifacts.