Incredibuild Launches Islo to Give Each AI Coding Agent Its Own Persistent Cloud Sandbox

Breaking: Incredibuild Launches Islo for AI Agents

Incredibuild today announced Islo, a sandbox purpose-built for AI coding agents that provides each agent its own persistent, isolated cloud environment. The move aims to eliminate the security and governance risks of running agents on developer laptops while enabling continuous operation without human supervision.

"Coding agents are capable of doing real work now, but they all run on the developer's laptop," said Adam Gold, Director of Product Engineering at Incredibuild, in a press release. "That means they die when the lid closes, and they have access to everything on the machine."

Background: The Broken One-Developer-One-Machine Model

The current enterprise approach—one developer, one machine—fails for AI agents in three critical ways, according to the company. First, agent lifecycles don't align with human schedules: developers reportedly walk around with laptops half-open just to keep agents alive. Incredibuild calls this "not a workflow."

Second, agents inherit all credentials on a developer's machine—SSH keys, AWS profiles, browser cookies—creating a massive blast radius with no judgment about when not to use them. Third, agents need warm, persistent environments with running services, databases, and build caches that ephemeral containers discard on every run.

What does this mean for enterprise development?

What This Means: Persistent, Scoped Environments for Every Agent

Islo gives each AI agent its own dedicated cloud machine with independent lifecycles, scoped credentials, and persistent storage. Agents can run 24/7 without dying when a laptop closes, and they operate under explicit policies that limit access to only what they need.

"We built Islo because we believe that every AI agent needs its own computer—not an ephemeral container, but a long-running dev environment with its own running services, scoped credentials, and a lifecycle that doesn't depend on human supervision," Gold added.

How Islo Differs from Current Alternatives

Cloud dev environments like GitHub Codespaces, Daytona, and Coder were designed for humans, not agents. They assume an IDE is attached, idle out, and trust the developer's judgment. Islo, by contrast, is built for autonomous agents: persistent, addressable, and governed by policy rather than human oversight.

Ephemeral containers also fail here because they discard state on every run. Islo maintains a warm environment with services, databases, and build caches—so agents never start from scratch. The result: continuous, secure, and efficient AI-assisted development.

The announcement positions Incredibuild, known for its build acceleration platform used by Microsoft, Take-Two, and Nintendo, as a key player in managing AI agent infrastructure. The company is targeting engineering teams that need to run multiple agents simultaneously without compromising security or developer productivity.