# How Conductor moved parallel coding agents from the laptop to the cloud with Vercel Sandbox

DevFeed: [How Conductor moved parallel coding agents from the laptop to the cloud with Vercel Sandbox](<https://devfeed.tech/articles/how-conductor-moved-parallel-coding-agents-from-the-laptop-to-the-cloud-with-vercel-sandbox-736.md>)

Original publisher: [Read original article](<https://vercel.com/blog/how-conductor-moved-parallel-coding-agents-from-the-laptop-to-the-cloud-with-vercel-sandbox>)

Author: Eric Dodds

Published: 2026-05-27T14:00:00Z

Content type: article

Language: en

Sources: [Vercel News](<https://devfeed.tech/sources/vercel-news.md>)

Topics: [AI-assisted coding](<https://devfeed.tech/topics/ai-assisted-coding.md>)

Tags: [agents](<https://devfeed.tech/tags/agents.md>), [claude-code](<https://devfeed.tech/tags/claude-code.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [codex](<https://devfeed.tech/tags/codex.md>), [coding](<https://devfeed.tech/tags/coding.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [remote](<https://devfeed.tech/tags/remote.md>), [sandbox](<https://devfeed.tech/tags/sandbox.md>), [sandboxes](<https://devfeed.tech/tags/sandboxes.md>), [vercel](<https://devfeed.tech/tags/vercel.md>)

## AI overview

Conductor moved its parallel coding-agent workflows from local laptops to cloud workspaces built on Vercel Sandboxes. The remote setup lets developers run isolated agents on servers while avoiding local hardware limits.

## Source 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 a fleet of agents just as intuitive. It's a GUI for spinning up multiple coding agents in parallel, each working on an isolated branch of your codebase at once. You review their work, merge what works, and redirect the agents that need to keep iterating. Engineering teams loved it, but hardware was a real limitiation. Every agent ran on your machine, so the fan climbed, the CPU ran hot, and if you closed your laptop, the agents stopped. Charlie Holtz, co-founder and CEO of Conductor, spent time at Vercel before starting the company. He understands what developers lose when their environment imposes rules on how they can work. Cloud Workspaces, Conductor's remote execution layer built on Vercel Sandboxes, removes the local hardware constraint. Developers can now spawn multiple agents and close the lid without interrupting work. The journey from local to cloud Developers who adopted Conductor early felt the power. Notion's engineering team said, "It makes you feel like an octopus, where each one of your arms is working on something separately." The demand for remote execution came quickly. Developers wanted more agents running longer, and local hardware was the ceiling. For a six-person startup, going from local to cloud is a huge technical leap, and when the developers using Conductor work at companies like Linear and Ramp, provider choice is a matter of building trust with engineers choosing to run their code on infrastructure they don't own. The team evaluated several sandbox providers, weighing fast spin-up and snapshot support alongside longevity and the depth of the support relationship. Running parallel agents in the cloud Conductor built Cloud Workspaces on Vercel S