Most teams run one AI coding agent at a time on a developer’s laptop. Helix gives each agent its own GPU-accelerated desktop, then lets you orchestrate dozens of them in parallel

HelixML

Helix provides a platform for running fleets of AI coding agents in parallel, each with its own GPU-accelerated Linux desktop running the Zed editor, terminal, and browser. Agents are coordinated through a Kanban board with a spec-driven workflow: planning, design review with inline comments, and implementation. Agents are intentionally isolated and coordinate through git rather than inter-agent communication. A key feature allows doing work once in one repo, then cloning the refined spec across dozens of repos with agents working in parallel. The post references Steve Yegge's AI acceleration curve and positions Helix as a platform that supports teams at every stage, from basic inference to full agent fleet orchestration.

What a control room for AI coding agents actually looks like

Agents don’t talk to each other (on purpose)