Roo Code vs Capy: VS Code Extension or Parallel Cloud IDE?

Roo Code is a free, open-source VS Code extension that adds role-based AI assistants to your editor. Capy is a standalone cloud IDE where multiple AI agents work in parallel across isolated VMs. One enhances your current workflow inside VS Code. The other replaces the workflow entirely with an AI-native one.

TL;DR

• Roo Code gives you specialized AI modes (Architect, Coder, Debugger) inside VS Code with BYOK model support.
• Capy gives you dedicated agents (Captain for planning, Build for execution) running in isolated cloud VMs.
• Roo Code is a free AI extension for VS Code with limitations. Capy is a different category entirely — a parallel development platform.

What is Capy?

Capy doesn't live inside an editor at all. It's a browser-based platform where AI agents operate in their own cloud environments — separate from your local machine, separate from each other.

The architecture is agent-based rather than mode-based. Captain reads your full repository and produces task-level implementation specs. Build agents execute those specs in dedicated VMs where they can install packages, run containers, and use whatever toolchain the project needs. Each task gets its own branch, and Capy opens a PR when the work is done.

What is Roo Code?

Roo Code is an open-source VS Code extension forked from Cline that adds role-based AI modes to your editor — Architect for planning, Coder for implementation, Debugger for fixing issues — each with its own prompt configuration.

It's model-agnostic via BYOK (bring your own key). The extension is free, with an optional Roo Code Cloud service for running autonomous agents at $5/hour. Roo Code has SOC 2 compliance, which matters for enterprise teams.

Head-to-head comparison

Where Capy wins

Concurrent execution, not sequential. In Roo Code, you finish one task before starting the next. Capy runs tasks concurrently — ten features on ten separate branches, each in a sandboxed cloud environment that can't interfere with the others.

Planning stays separate from coding. Roo Code's modes share a single conversation — you switch from Architect to Coder in the same session, and context bleeds between phases. Captain produces specs from a full repository analysis, then Build agents execute against those specs independently. The planner never gets distracted by implementation details.

No editor constraints. Roo Code runs inside VS Code's process model, which limits what the agent can do — no native Docker, restricted filesystem access, shared state between tasks. Build agents run in full Linux VMs where they can install anything, run containers, and use the same toolchains your CI pipeline uses.

Git operations are automatic. Creating branches, committing work, opening PRs, running review — Capy handles all of it. With Roo Code, you still manage the Git lifecycle around the AI's code changes.

Where Roo Code wins

Free and open source. The extension costs nothing. You only pay for API calls to your chosen provider (or Cloud runtime if you opt in).

BYOK model support. Use whatever provider and model you want, including local models via Ollama. You control costs directly.

Custom modes. You can create specialized AI personas for specific task types. Useful if you want different behavior for security reviews vs. feature work.

Who should use what?

Use Capy if:

• You want to run multiple coding tasks simultaneously
• You need full VM isolation — Docker, system packages, complex build environments
• You want AI to handle planning separately from coding
• Automated PR workflows matter to your team's velocity
• You want to try different models per task without managing API keys

Use Roo Code if:

• VS Code is your IDE and you don't want to leave it
• You want free, open-source AI assistance with your own API keys
• You work on one thing at a time and want an AI copilot, not a fleet

Your editor is great for editing.

When you need to ship a sprint's worth of features in parallel, you need a platform built for it.

Try Capy free→