Roo Code

An AI coding agent that works inside your editor

Roo Code is a VS Code extension that helps you generate, refactor, debug, and document code from natural language. It also supports multiple working modes and can connect to MCP servers for tool use.

Code Execution

File Access

B2B

IDE Extension

MCP Support

Copilot (Human-in-Loop)

Open Source

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Recent activity

What's happened with Roo Code lately

May 22, 2026
Score change
Rubric upgrade v3_0 → v3.1: score 7/32 → 12/367 → 12/36(+5)
Rubric upgrade: agenticness v3.0 (8 dims, /32) → v3.1 (9 dims, /36). Adds Dim 9 (Operator Sovereignty), splits Dim 6 into 6a/6b lenses, tightens Dim 4 autonomous-retry distinction. Not a product change — score shift reflects new dimension + recalibrated rubric, not a change in the tool. Fanout suppressed.
See the news that prompted this
May 22, 2026
Score change
Agenticness score 9 → 7 ↓9 → 7/36(-2)

News mentions sourced from our news feed; score changes from periodic re-evaluations.

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About

What It Is

Roo Code is an IDE extension for developers who want AI assistance directly inside their code editor. According to its README, it positions itself as an “AI-powered dev team” and is built around coding workflows like writing new code, debugging, refactoring, and explaining existing codebases.

What to Know

Roo Code looks strongest as a human-in-the-loop coding assistant rather than a fully autonomous agent. The README emphasizes modes such as Code, Architect, Ask, Debug, and Custom Modes, plus support for MCP servers, but it does not clearly describe...

Key Features

Generates code from natural language descriptions and specs

Supports Code, Architect, Ask, Debug, and Custom Modes

Refactors and debugs existing code

Writes and updates documentation

Answers questions about your codebase

Use Cases

Building new features from a written spec inside VS Code

Debugging an issue by asking the agent to trace root causes and add logs

Refactoring existing code with guided edits

Agenticness: Guided Assistant

Executes tasks you assign, one step at a time, within narrow domains.

High evidence

Last evaluated: May 22, 2026

This tool has strong action capabilities but limited safety controls. Use with appropriate oversight.

Dimension Breakdown

Action Capability

Autonomy

Adaptation

State & Memory

Safety

How agenticness works →

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