by Roo Vet & CommunityIn-IDE ExtensionOpen SourceRank #7 on Leaderboard

Roo Code

Advanced multi-mode AI coding agent for VS Code with specialized Architect, Code, and Debug personas.

Overall Index
75.8/ 100
Artificial Analysis benchmark composite
SWE-bench Verified
48.1%
Real-world GitHub issue resolution
DeepSWE v1.1
67.2%
Multi-file software engineering tasks
Terminal-Bench
64.2%
Shell execution & command accuracy
Avg Cost / Task
$0.40
Inference token expenditure per task

Overview & Analysis

Roo Code is a community-driven autonomous coding assistant for VS Code. Building on the foundation of Cline, Roo Code introduces specialized engineering personas—such as Architect mode for system design, Code mode for implementation, and Debug mode for resolving test regressions—maximizing accuracy while conserving token usage.

Pricing Model: 100% Free & Open Source (Apache 2.0). Connect directly to any model provider API.

Free Tier Details: Free open-source extension. Works with local Ollama models with zero subscription costs.

Technical Specs & Models

Primary EngineClaude 3.7 Sonnet / DeepSeek-V3
EnvironmentVS Code Extension
PlatformsmacOS, Linux, Windows
LicenseApache 2.0 (Open Source)
Custom API Keys (BYOK)Supported (Yes)
Supported Foundation Models:
Claude 3.7 SonnetClaude 3.5 SonnetDeepSeek-R1DeepSeek-V3OpenAI o3-miniGemini 2.5 FlashOllama Local

Key Capabilities & Features

Specialized engineering mechanisms implemented in Roo Code.

Specialized Engineering Modes

Switch seamlessly between Architect (system design & planning), Code (execution), Ask (Q&A), and custom persona modes.

Extensible Tool Integration (MCP)

Connect to database query servers, web search APIs, and internal company microservices using the Model Context Protocol.

Custom System Prompts per Project

Configure project-specific .roomodes and rules that instruct the agent on code formatting and architectural guidelines.

Multi-Model Orchestration

Assign inexpensive fast models to planning and high-reasoning frontier models to code synthesis.

Pros & Cons Evaluation

Forensic analysis of developer experience, cost efficiency, and trade-offs.

Strengths & Advantages
  • Mode switching drastically improves prompt relevance and prevents destructive edits during planning
  • Community-driven rapid release cycle with bleeding-edge model integrations
  • Full offline privacy when configured with Ollama or local vLLM instances
  • Comprehensive telemetry tracking per-request cost breakdown
Limitations & Trade-Offs
  • Can require initial experimentation to calibrate which modes fit specific developer workflows
  • No single-click unified cloud billing (requires provider API keys)

Pricing Plans & Tiers

Subscription plans, credit quotas, and commercial deployment options.

Community Edition

$0

Full open-source feature set

  • All modes included (Architect, Code, Ask, Debug)
  • Custom mode creator
  • Full MCP ecosystem access
  • Zero telemetry tracking
Choose Community Edition

Verified Benchmark Evaluations

Standardized evaluation scores recorded on SWE-bench and synthetic code harnesses.

Benchmark HarnessScore / AccuracyEvaluation MetricVerification StatusEvaluation Notes
DeepSWE v1.167.2%Task CompletionVerifiedStandard benchmark instance run.
Terminal-Bench 4.064.2%CLI ToolingVerifiedStandard benchmark instance run.

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