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Roo Code was an open-source AI coding agent for Visual Studio Code, but it is no longer an active extension. The official documentation and Marketplace listing state that “The Roo Code Extension was shut down on May 15th, 2026.” Its documented design could read and edit project files, run terminal commands, use web access when enabled, and connect to external tools through Model Context Protocol (MCP). If you are evaluating Roo Code now, treat the feature and setup details below as historical documentation, verify the availability and maintenance of any replacement, and do not assume that the old extension can still be installed or supported.

What is Roo Code?

Roo Code was a VS Code extension built as an AI coding agent rather than a simple chat window. According to its official FAQ and Marketplace description, it could inspect a codebase, create and modify files, execute shell commands with approval, answer questions about a project, browse the web when that capability was enabled, and call external tools through MCP.

That agent model made Roo Code useful for work such as generating code, refactoring, debugging, writing documentation, planning migrations, automating repetitive tasks, and creating files or entire project structures. It also meant that a response was not merely text to copy: the extension could propose consequential edits or commands, so permissions and review were part of the workflow.

The important current fact is its status. The official docs and Marketplace listing record the shutdown date as May 15, 2026. The documentation points readers to ZooCode, described there as a community fork, and to Cline as an alternative. Those pages do not establish that either project is currently maintained, secure, officially endorsed, or available in a particular Marketplace edition. Check each project’s present documentation before moving a production workflow.

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How Roo Code’s agent workflow worked

Files, terminal commands and approvals

Roo Code could read and write project files and run commands in the integrated terminal. Its FAQ warned that the model could make mistakes and that users should review changes. Terminal commands required approval unless a user enabled auto-approval. In practice, the safe operating pattern was to keep auto-approval off for unfamiliar repositories, inspect proposed diffs, and run destructive operations manually.

Web access and MCP

Web access was optional. The product warning noted that using it could expose sensitive information, so enabling browsing for a repository containing credentials, private source, customer data, or unreleased material required a separate privacy decision. MCP support allowed connections to external tools; every additional server expanded the set of data and actions that needed review.

Modes

The documented mode list included Code, Architect, Ask, Debug, and custom modes. The chat dropdown or a slash command was used to switch modes.

Mode Documented purpose
Code Everyday coding and file operations.
Architect Planning systems, specifications and migrations before implementation.
Ask Quick answers, explanations and codebase questions without a primary implementation task.
Debug Tracing issues, isolating root causes and working through a diagnosis.
Custom Specialized workflows defined with custom instructions and modes.

Project controls and documented features

Roo Code’s feature documentation described several controls for constraining an agent:

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  • Custom instructions and modes: tailor behavior for a team or task.
  • .roorules: project-level guidelines supplied to the agent.
  • .rooignore: rules for excluding files from access.
  • Configuration profiles: separate settings for different projects or providers.
  • Approval controls: decide which file and terminal actions require confirmation.
  • Context condensing: reduce a long conversation’s context when needed.
  • MCP integrations: connect external tools and data sources.

The feature page marked custom tools and concurrent file edits as experimental. Because the project has shut down, those labels should be read as historical capability notes, not a promise that an installable build or support channel exists today.

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Is Roo Code free to use?

The official FAQ states that “The Roo Code extension is free and open-source.” That describes the extension itself, not the cost of the AI model behind it. Roo Code required an inference provider, and hosted providers typically charged for processed tokens or other usage. Your total cost therefore depended on the selected provider, model, prompt size, project context and frequency of use.

The provider guide historically listed hosted options including Anthropic, OpenAI, OpenRouter, Google Gemini and AWS Bedrock, along with local-model software such as Ollama and LM Studio. That guide was last updated May 15, 2026, so its list is historical documentation rather than a current compatibility guarantee. No current provider price or model ranking is established here; rates and availability change.

Hosted versus local models

Provider choice affected five practical decisions: usage cost, privacy, model capability, compatibility and setup effort.

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Approach Where processing occurs Cost pattern Trade-off
Hosted provider The selected provider’s infrastructure. Usually usage- or token-based; current rates vary by provider and model. Generally simpler access to capable models, but prompts and relevant project context may leave your machine.
Local model On the computer running the local model software. No hosted-token charge for local inference, but local compute and software setup still have costs. Can avoid third-party transmission, while capability, speed and hardware requirements vary.

The documentation named Ollama and LM Studio for local setups but did not specify a required computer, GPU or performance level. Do not infer a hardware recommendation from the provider list alone. Whichever route you consider, verify that the provider and model still work with the replacement extension you choose.

Privacy and security considerations

Roo Code’s privacy policy, last updated September 11, 2025, said that relevant files, prompts and project context could be transmitted to the selected model provider. The provider’s own terms determined how that data could be processed or stored. API keys were described as stored locally and sent only to the provider selected by the user.

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The policy described telemetry as including a VS Code machine ID, feature-usage patterns and exception reports, while excluding code and prompts; it also described telemetry as opt-out in settings. Local models were identified as a way to avoid third-party transmission. These statements come from the product policy, not from an independent security audit, and they do not establish how a successor handles data.

  • Keep secrets, tokens and private keys out of prompts and accessible files.
  • Use .rooignore or the equivalent controls in a maintained replacement to limit exposure.
  • Review diffs before committing agent changes.
  • Require approval for shell commands, especially commands that delete, migrate or publish data.
  • Assess every MCP server and web integration as an additional trust boundary.

What a historical setup required

The documented setup model required VS Code, the extension, and an inference provider. A typical historical flow was:

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  1. Install the extension from its then-available VS Code distribution.
  2. Choose a hosted provider or configure a local endpoint such as Ollama or LM Studio.
  3. Enter the provider credentials or endpoint in the extension settings.
  4. Open a repository, select a mode, and provide a narrowly scoped task.
  5. Review proposed file edits and approve terminal commands individually.

Because the extension was shut down, step one may no longer be possible and the remaining steps may not work with an archived build. Do not disable VS Code or operating-system security controls to force an installation. For a replacement, follow that project’s current installation and provider instructions instead.

Troubleshooting and failure modes

The extension is missing from the Marketplace

This is consistent with the stated May 15, 2026 shutdown. Do not treat a third-party download as an official release. Confirm the provenance, maintenance and security policy of any fork before opening a sensitive repository.

The model does not respond

Check the provider key, endpoint, model identifier and account balance or quota. A free extension does not make provider inference free. With a local model, verify that the local server is running and that the configured endpoint matches the replacement’s current requirements.

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Edits are wrong or commands are unsafe

Reduce the task scope, provide acceptance criteria, inspect the diff, and leave auto-approval disabled. Revert unwanted changes before asking for another attempt.

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Private content appears in a request

Stop the task, remove secrets from the working tree and prompt, tighten ignore rules, and review the selected provider’s retention terms. If third-party transmission is unacceptable, use a maintained local-model workflow only after verifying its actual behavior.

An MCP tool fails

Check that the server is running, its authentication is valid, and the client and server support the same protocol expectations. Grant only the tools required for the task.

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Screenshot capture for coding documentation and tests

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Or skip the browser setup

One GET request returns a PNG, JPEG, WebP or PDF. The service can load lazy images, capture a CSS-selected element, set a viewport or device, run custom JavaScript, wait for a selector or network idle, hide selectors, block requests, apply headers and cookies, use a timezone or geolocation, and create signed links. Failed loads, blank pages, bot checks and CAPTCHAs are reported and are not billed. An MCP server provides take_screenshot, get_page_info and capture_pdf tools for AI agents.

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cURL:

curl -G "https://api.screenshotneo.com/v1/shot" -d access_key=YOUR_API_KEY --data-urlencode url=https://stripe.com -o shot.webp

Python:

import requests
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open("shot.webp", "wb").write(r.content)

Node.js:

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Should you use Roo Code now?

No—not as a new dependency. Its historical agent design explains why it attracted developers, but the official project has recorded a shutdown, and current maintenance, security support and successor compatibility are not established by the cited materials. If you are migrating, inventory the workflows you need, verify a maintained alternative, review its provider and privacy terms, and reproduce the approval and file-exclusion controls before granting repository access.

Frequently Asked Questions

Can Roo Code still be installed from the VS Code Marketplace?

The official listing records a May 15, 2026 shutdown, so current Marketplace availability should not be assumed. Treat any surviving package as unverified until its provenance and maintenance are established.

Did Roo Code include an AI model?

No. It was the VS Code agent interface; inference depended on a separately selected hosted or local provider.

What’s actually slowing this PC down?

Pick the symptom - the matching free tool is one click away.

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What should I verify before adopting a successor?

Verify current release availability, maintenance, security practices, provider compatibility, privacy terms, file-ignore controls, command approvals and MCP behavior.

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