How Conductor moved parallel coding agents from the laptop to the cloud with Vercel Sandbox
Not a local experiment. Conductor's multi-agent IDE now runs parallel coding agents in the cloud—no laptop required.
Why it matters
Conductor shipped Cloud Workspaces on Vercel Sandboxes, moving multi-agent coding from resource-constrained local machines to scalable cloud infrastructure. This matters because it removes the hardware ceiling for teams running multiple AI agents in parallel, and demonstrates a model-agnostic approach that insulates the product from model provider churn.
The key facts
8 to knowConductor built Cloud Workspaces on Vercel Sandboxes for remote multi-agent execution
Model-agnostic architecture supports Claude Code, Codex, and other coding agents
Adopted by engineering teams at Notion, Linear, Ramp, and Life360
Enables developers to spawn multiple agents and close laptop without interrupting work
Eliminates local hardware constraints (CPU, fan, battery limitations)
CEO Charlie Holtz previously worked at Vercel before starting Conductor
Fast spin-up and snapshot support were key evaluation criteria vs. other sandbox providers
Maintains identical UI/UX between local and cloud versions
Go to the source
Vercel Blogvercel.com
Publisher excerpt: Conductor on Vercel Multiple parallel coding agents running at scale in the cloud Model-agnostic, works with Claude Code, Codex, and other coding agents Used by engineering teams at Notion, Linear, Ramp, and Life360 Interacting with a single coding agent feels natural, and Conductor makes directing…