Why Your AI Coding Agents Need Their Own VMs (And How Bastion Makes It Happen)

The Parallel Agent Problem

You've been there. You've got three AI coding agents working on different features, and suddenly your Node modules are a battlefield. Agent A changed a dependency version that broke Agent B's build. Agent C overwrote a config file because it didn't know Agent A was using it. Sound familiar?

This is the mess that happens when you run multiple autonomous coding agents in shared environments. They're powerful individually, but put them together without proper isolation, and you're basically asking for runtime conflicts.

Virtual Computers: Not Just for Humans Anymore

Here's where Bastion takes an interesting approach. Instead of trying to orchestrate agent behavior through complex coordination systems, it gives each agent its own VM. Think of it as "one agent, one universe."

Every coding agent gets complete control over its dev environment—from the file system to background processes. No stepping on toes. No surprise dependency conflicts. Just pure, isolated workspace where each agent can do its thing without affecting its neighbors.

This isn't just about avoiding conflicts, though. It's about predictability. When an agent has its own virtual computer, you know exactly what state it's in. You can snapshot it, clone it, or nuke it and start fresh without worrying about collateral damage to other agents.

JSON as Infrastructure Code

Bastion's approach to environment definition is worth highlighting. Instead of manually configuring settings or writing complex provisioning scripts, you define environments with JSON templates that get schema-validated.

This means your agent environments become version-controlled, reproducible, and shareable. Want to spin up the same dev environment for five different agents across your team? Define it once in JSON, deploy it five times. The configuration becomes documentation, and documentation becomes configuration.

Self-Hosting Flexibility

One thing that sets Bastion apart is the self-hosting option. You can run it on any Linux system with KVM support—from a developer workstation to AWS EC2 instances. This gives you control over where your agents run and data lives, which matters for organizations with specific compliance or privacy requirements.

You're not locked into a proprietary cloud service. If you want the power of isolated agent environments but need to keep everything in your own infrastructure, Bastion lets you do that.

Getting Started

The workflow is straightforward:

1. Define your agent's environment as a JSON configuration
2. Initialize the template with a simple CLI command
3. Deploy the environment for your agent
4. Connect via OpenCode or SSH

The documentation even includes video walkthroughs covering the full lifecycle—from template creation to working with the multiplexer and proxying to environment services.

The Bigger Picture

What Bastion represents is a maturation of how we think about AI coding agents. For a long time, the conversation has been about making agents smarter. But infrastructure matters too. How agents share resources, how their environments are managed, and how we prevent conflicts when running multiple agents—these are practical problems that determine whether AI-assisted development scales smoothly or becomes a debugging nightmare.

Giving each agent its own VM might seem like overkill, but in a world where we're increasingly deploying autonomous agents to handle complex coding tasks, proper isolation isn't a luxury—it's a necessity.

If you're running multiple coding agents in production or even in serious development workflows, tools like Bastion are worth watching. The future of AI development isn't just about smarter agents; it's about smarter infrastructure to support them.