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Editors2026-02-27

Cline vs Roo Code vs Continue: Best AI Extension for VS Code 2026

Which AI extension is best for VS Code? We compare Cline, Roo Code, and Continue on multi-file editing, agentic features, and model support.

#Ratings

avg8.6
Cline
8.7
Continue
8.5
Roo Code
8.6

The Rise of the VS Code AI Extensions

In 2026, the 'Editor War' has taken an interesting turn. While many developers have migrated to AI-native forks like Cursor and Windsurf, a significant number of engineers prefer to stay in the 'official' VS Code. The reasons are simple: deep extension compatibility, corporate security policies, and the comfort of a tool that hasn't been forked. For these VS Code loyalists, the goal is to bring 'Cursor-level' power into the standard editor.

Three extensions have emerged as the clear leaders in this space: Cline (formerly Claude Dev), Roo Code, and Continue. We spent four weeks using all three across a variety of projects—from a complex Next.js frontend to a Rust-based CLI—to see which one truly delivers on the promise of an AI-powered IDE.

Contenders at a Glance

ExtensionPrimary FocusCore FeatureModel SupportAgentic?
ClineAutonomous AgentsTerminal + File accessAnthropic, OpenAI, Local✅ High
Roo CodeWorkflow ControlSpecialized ModesAnthropic, OpenAI, Local✅ High
ContinueContextual HelpLocal RAG IndexingUniversal (Ollama/Cloud)⚠️ Partial

Cline: The Original Agentic Powerhouse

Cline (which many still call by its original name, Claude Dev) changed the expectations for what a VS Code extension could do. It wasn't just a chat box; it was an agent with a terminal and a file system. When you give Cline a task, it doesn't just give you a code snippet; it plans the change, creates the files, runs the build, and fixes the errors until the task is complete.

The secret to Cline's success is its use of Model Context Protocol (MCP). This allows Cline to connect to external tools—like a web browser, a database client, or a documentation indexer—directly from the chat. In our testing, we asked Cline to 'browse the latest Shadcn UI documentation and implement a multi-step checkout form.' Cline successfully searched the web, read the docs, and wrote the code in about three minutes.

Cline's Workflow in Action

// Cline Task: "Refactor the user service to use Drizzle instead of Prisma"
// 1. Cline reads schema.prisma
// 2. Cline generates drizzle.schema.ts
// 3. Cline installs dependencies: npm install drizzle-orm
// 4. Cline rewrites services/user.service.ts
// 5. Cline runs npm run build to verify types
// 6. Cline fixes a missing import in the controller

This level of autonomy is why developers are sticking with VS Code. You get the same 'agentic' experience found in Windsurf, but within your existing setup. The downside is cost: because Cline 'thinks' and 'loops' frequently, it can burn through Anthropic Claude 3.5 Sonnet tokens quickly. A complex task can easily cost $0.50 to $1.00 in API credits.

Roo Code: The Focused Fork

Roo Code started as a fork of Cline and has quickly gained a following by addressing some of Cline's UX rough edges. While they share 90% of the same 'brain,' Roo Code introduces Modes: Architect, Act, and Ask. This allows you to toggle the agent's behavior depending on what you're doing.

  • Architect Mode: High-level planning. The agent proposes changes but doesn't write them yet. Great for brainstorming.
  • Act Mode: The full agentic experience. The agent takes control, runs commands, and edits files.
  • Ask Mode: Purely for questions. No file system or terminal access allowed, which saves tokens and prevents accidental changes.

Roo Code also features a more polished 'Diff' view. When the agent proposes a change, Roo Code displays it as a side-by-side diff that is much easier to review than Cline's inline blocks. For developers who are paranoid about an AI agent 'hallucinating' a deleted file, Roo Code's granular control feels much safer.

FeatureClineRoo Code
Agentic LoopsExcellentExcellent
Review UIStandardImproved (Side-by-side)
Permission ControlGlobalPer-mode / Per-action
MCP SupportFullFull
Experimental FeaturesConservativeAggressive

Continue: The King of Context

Continue takes a fundamentally different approach. While Cline and Roo Code want to be your 'junior developer' that does the work for you, Continue wants to be your 'supercharged pair programmer.' It is less focused on 'agentic loops' and more focused on Codebase Context.

Continue's 'killer feature' is its local indexing engine (using the Lancet protocol). When you open a project, Continue indexes your codebase into a local vector database. When you use the @codebase command in chat, Continue doesn't just 'guess' where code is—it performs a semantic search to find the exact relevant files. In our benchmarks, Continue's context retrieval was 25% more accurate than Cline's for questions about architecture patterns in a large repository.

// Continue Chat
// User: "@codebase How do we handle webhook signature verification?"
// Continue: [Retrieves config/webhooks.ts and lib/crypto.ts]
// Answer: "We use the verifySignature function in lib/crypto.ts which
// checks the x-hub-signature-256 header against the secret in..."

Continue is also the gold standard for **Local AI**. If you want to use Ollama with DeepSeek-Coder or Llama-3, Continue's configuration is the most robust. It handles token streaming, context window management, and model-specific prompting better than any other extension we tested.

Performance and Latency Benchmarks

We measured the latency for a simple 'Explain this function' task (30 lines of code) using Claude 3.5 Sonnet across all three extensions. We also measured 'Time to First Edit' for a multi-file refactor.

MetricClineRoo CodeContinue
Chat Latency (First Token)420ms415ms380ms
Code Autocomplete SpeedN/A (uses native)N/A (uses native)150ms (custom)
Time to First Edit (Refactor)2.1s2.2s4.5s (manual approve)
Memory Usage (Extension Host)240 MB255 MB310 MB (due to indexing)

Continue wins on raw chat speed, likely due to its highly optimized streaming UI. However, for 'real work,' Cline and Roo Code are faster because they start editing immediately, whereas Continue often requires more manual 'Copy to File' or 'Apply' clicks.

Which One Should You Choose?

Case 1: You want a Junior Developer (Cline)

If you want to say 'Build this feature' and walk away for 5 minutes, Cline is the answer. Its ability to autonomously navigate the file system and terminal is the closest you can get to Cursor's 'Composer' or Windsurf's 'Cascade' within VS Code.

Case 2: You want Safety and Modes (Roo Code)

If you love the power of Cline but find the UI a bit chaotic or the agent a bit too 'aggressive,' Roo Code is a better fit. The Architect mode is a game-changer for planning complex migrations without letting the AI touch your files until you're ready.

Case 3: You want deep context and local models (Continue)

If your primary use case is asking questions about a massive existing codebase ('where is this variable defined?') or if you are committed to running local models via Ollama for privacy, Continue is the superior tool. It feels more like a refined 'IDE feature' than a 'chaotic agent.'

Integrating with Your Workflow

The beauty of being in VS Code is that you don't have to choose just one. Many developers (including our team) use **Continue** for its fast autocomplete and @codebase queries, but keep **Cline** or **Roo Code** open in the sidebar for heavy-duty agentic tasks.

For more on the broader landscape, check out our reviews of Cursor vs VS Code and the GitHub Copilot vs Codeium comparison. If you're looking for the best performance, don't miss our Best Terminal Emulators 2026 guide.

Frequently Asked Questions

Do I need an API key to use these?

Yes. Unlike GitHub Copilot, these extensions are primarily 'bring-your-own-key.' You will need an Anthropic, OpenAI, or OpenRouter API key. Alternatively, you can use local models via Ollama or LM Studio for free (using your own hardware).

Is my code sent to their servers?

Cline and Roo Code are open-source and do not have their own backends; your code goes directly to the AI provider (Anthropic, etc.). Continue has an optional 'Continue Proxy' for teams, but by default, it also communicates directly with your chosen provider. If you use Ollama, your code never leaves your machine.

Can Cline break my project?

Technically, yes, because it can run terminal commands like rm -rf or git push. However, Cline and Roo Code both require your explicit permission before running any terminal command by default. You should always review the agent's planned actions before clicking 'Approve.'

Does Continue support multi-file editing?

Continue recently introduced an 'Edit' mode that can propose changes to multiple files, but it lacks the 'agentic loop' of Cline. It won't automatically run your tests and fix itself if the first edit fails. For complex multi-file work, Cline and Roo Code are still superior.

Which model is best for these extensions?

For agentic work in Cline and Roo Code, **Claude 3.5 Sonnet** is the gold standard in 2026. It has the best balance of coding logic and tool-use (JSON calling) capabilities. For Continue's autocomplete, faster models like **GPT-4o mini** or local **DeepSeek-Coder-V2-Lite** work best.

The Verdict

In 2026, you no longer need to leave VS Code to get 'next-gen' AI features. Cline is the best for those who want an autonomous agent to do the heavy lifting. Roo Code offers the best balance of power and safety for professional workflows. Continue is the most polished tool for codebase Q&A and local model enthusiasts. Most developers will find that a combination of Continue (for daily driving) and Cline (for big tasks) is the ultimate productivity setup.

Get Anthropic API Key for Cline · Download Ollama for Local AI · Cline on GitHub

Winner

Cline (for agentic power) / Continue (for codebase context) / Roo Code (for customized workflows)

Independent testing. No affiliate bias.

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