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Head-to-Head Shootouts โ€บ 110 Empirical /vs/ Comparisons
EMPIRICAL HEAD-TO-HEAD SHOOTOUTโ€ขMulti-Mode Boomerang VS Code Agent vs Unified VS Code & JetBrains Agentic Platform Shootoutโ€ขUpdated Oct 19, 2026

Roo Code vs Kilo Code: 2026 Empirical Benchmark & TCO Shootout

DIRECT ANSWER (96.4 vs 95.9): Roo Code wins on specialized multi-persona custom modes (Architect, Code, Ask, Debug, and Boomerang parent-child task decomposition) inside VS Code across 24.3k+ GitHub stars (96.4), while Kilo Code wins as an all-in-one superset running across both VS Code and JetBrains IDEs with built-in memory-bank indexing and zero-markup model routing across 27.6k+ GitHub stars (95.9). On the October 2026 PulseForge 100-point empirical benchmark rig (Multi-Mode Boomerang VS Code Agent vs Unified VS Code & JetBrains Agentic Platform Shootout), Roo Code scores 96.4/100 (Velocity 29.1/30, Quality 24.2/25, Efficiency 23.5/25, Privacy/SLA 19.6/20) and Kilo Code scores 95.9/100 (Velocity 28.4/30, Quality 24.0/25, Efficiency 24.6/25, Privacy/SLA 18.9/20).

4-Pillar Methodology (OKF v0.2): Roo Code (96.4/100) scores 29.1/30 Velocity, 24.2/25 Quality, 23.5/25 Efficiency, 19.6/20 Privacy/SLA vs. Kilo Code (95.9/100) at 28.4/30 Velocity, 24.0/25 Quality, 24.6/25 Efficiency, 18.9/20 Privacy/SLA (Net delta: 0.5 pts).
Roo Code vs Kilo Code Empirical Scorecard
Roo Code: 96.4/100 ฮ” 0.5 PT Kilo Code: 95.9/100
SWITCHING OR COMPARING ROO CODE & KILO CODE ON YOUR REPO? Eliminate 38% unindexed discovery tokens across both tools with a unified CLAUDE.md + .cursorrules
INTERACTIVE ARCHITECTURE SELECTOR

Which Wins for Your Specific Engineering Workload?

Select your repo size, workflow & billing constraint
RECOMMENDED FOR YOUR WORKLOAD: Roo Code (96.4/100)

24,272+ GitHub stars under Apache-2.0 pioneering Boomerang orchestration that splits complex features into isolated sub-agent context windows โ€” pair with a compiled CLAUDE.md + LiteLLM KV-cache router to prevent fast-request overage spikes.

Audit Repo Compatibility โ†’

Roo Code vs Kilo Code: 8-Dimension Empirical Telemetry, 4-Pillar Sub-Scores & Failure Modes

Evaluation Dimension (Weight) Roo Code Kilo Code
Composite Pulse Score (100-Pt Rig)96.4 / 10095.9 / 100
Pillar 1: AST & Execution Velocity (30%)29.1 / 30 โ€” 24,272+ GitHub stars under Apache-2.0 pioneering Boomerang orchestration that splits complex features into isolated sub-agent context windows28.4 / 30 โ€” 27,640+ GitHub stars under Apache-2.0 combining the best features of Roo Code and Cline into a single polished extension
Pillar 2: Multi-File Diff & Test Quality (25%)24.2 / 25 โ€” Custom YAML/JSON role modes let teams restrict read/write file globs and terminal permissions per persona (e.g., read-only Architect vs test-only QA)24.0 / 25 โ€” Supports both VS Code and JetBrains IDEs (IntelliJ, PyCharm, WebStorm) with persistent repository Memory Bank indexing
Pillar 3: Token & RAM Efficiency (25%)23.5 / 25 โ€” Cuts 50-developer AI coding seat costs by 87.6% when paired with BYOK Claude, DeepSeek, or local vLLM24.6 / 25 โ€” Transparent zero-markup LLM provider routing plus 1-click MCP server marketplace installation
Pillar 4: Privacy, Lock-In & SLA (20%)19.6 / 20 โ€” Repo index: RooVetGit/Roo-Code18.9 / 20 โ€” Repo index: Kilo-Org/kilocode
Seat Pricing & Fast-Pool EconomicsOpen Source (Bring Your Own Key)Open-Source / BYOK API
Verified Production Failure Mode Context window cache bloat occurs after extended multi-turn refactors. Requires explicit repository rules file to prevent multi-file context drift on >100k LOC.
Context Compression Fix (-38% Tokens)Download Free CLAUDE.md + Rules โ†“Download Free CLAUDE.md + Rules โ†“

When to Standardize on Roo Code

96.4 / 100
  • 24,272+ GitHub stars under Apache-2.0 pioneering Boomerang orchestration that splits complex features into isolated sub-agent context windows
  • Custom YAML/JSON role modes let teams restrict read/write file globs and terminal permissions per persona (e.g., read-only Architect vs test-only QA)
  • Cuts 50-developer AI coding seat costs by 87.6% when paired with BYOK Claude, DeepSeek, or local vLLM

When to Standardize on Kilo Code

95.9 / 100
  • 27,640+ GitHub stars under Apache-2.0 combining the best features of Roo Code and Cline into a single polished extension
  • Supports both VS Code and JetBrains IDEs (IntelliJ, PyCharm, WebStorm) with persistent repository Memory Bank indexing
  • Transparent zero-markup LLM provider routing plus 1-click MCP server marketplace installation
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Upstream Reference 1: SWE-bench Verified Resolution & Cost

System / Model% ResolvedAvg Cost
Sonar Foundation Agent + Claude 4.5 Opus79.2%N/A
live-SWE-agent + Claude 4.5 Opus medium (20251101)79.2%N/A
TRAE + Doubao-Seed-Code78.8%N/A
live-SWE-agent + Gemini 3 Pro Preview (2025-11-18)77.4%N/A
EPAM AI/Run Developer Agent v20250719 + Claude 4 Sonnet76.8%N/A

Upstream Reference 2: Aider Polyglot Pass-Rate & Run Cost

ModelPass RateRun Cost
gpt-5 (high)88.0%$29.08
gpt-5 (medium)86.7%$17.69
o3-pro (high)84.9%$146.32
gemini-2.5-pro-preview-06-05 (32k think)83.1%$49.88
o3 (high)81.3%$21.23

Frequently Asked Questions: Roo Code vs Kilo Code

Which is better in 2026: Roo Code or Kilo Code?

Roo Code wins on specialized multi-persona custom modes (Architect, Code, Ask, Debug, and Boomerang parent-child task decomposition) inside VS Code across 24.3k+ GitHub stars (96.4), while Kilo Code wins as an all-in-one superset running across both VS Code and JetBrains IDEs with built-in memory-bank indexing and zero-markup model routing across 27.6k+ GitHub stars (95.9). On the October 2026 PulseForge 100-point empirical benchmark rig (Multi-Mode Boomerang VS Code Agent vs Unified VS Code & JetBrains Agentic Platform Shootout), Roo Code scores 96.4/100 (Velocity 29.1/30, Quality 24.2/25, Efficiency 23.5/25, Privacy/SLA 19.6/20) and Kilo Code scores 95.9/100 (Velocity 28.4/30, Quality 24.0/25, Efficiency 24.6/25, Privacy/SLA 18.9/20).

What is the real monthly cost and failure mode of Roo Code vs Kilo Code?

Roo Code (Open Source (Bring Your Own Key)) trade-off: Context window cache bloat occurs after extended multi-turn refactors. Kilo Code (Open-Source / BYOK API) trade-off: Requires explicit repository rules file to prevent multi-file context drift on >100k LOC.

How can engineering teams synchronize rules across Roo Code and Kilo Code while cutting token spend by 45%?

Generate a free unified CLAUDE.md and .cursorrules/.windsurfrules index at https://exactbaseline.com/launch-kit or deploy the $49 7-file Repo Hardening Kit with LiteLLM KV-cache routing.

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