Agents

BMAD and Micrantha converge on several autonomous-development mechanics, but differ in where context, identity, authority, durable state, repository truth, and evidence live.

The AI-native SDLC gets the bottleneck shift right. My own architecture pushes the idea further: generated artifacts are cheap, but trusted acceptance and authorized effects must remain explicit.

How Dubnium is evolving from local model serving into a governed agentic control plane with a supervisor gateway, bounded memory, specialist routing, and deterministic execution boundaries.

How Dubnium uses declarative schedules, systemd timers, workflow dispatch, and a separate agentic control plane without turning the scheduler into a hidden workflow engine.