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Compare/Junie vs Kilo Code

JunievsKilo Code

Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.

Junie
JetBrains · IDE extension
#56MCP
Panel
7.0
0 spec wins
Reliability
6.8
Usefulness
6.7
Cost
6.5
Longevity
7.8

“Runs on your own Ollama from the CLI, but the plugin still wants a JetBrains AI credit, of which the free plan gives you three.”

Kilo Code
Kilo Code (Anaconda) · IDE extension
#26OSSMCP
Panel
6.5
6 spec wins
Reliability
6.0
Usefulness
7.2
Cost
7.0
Longevity
5.8

“A fork of Roo Code carrying a fork of OpenCode, acquired by Anaconda, so the dependency tree finally has a parent.”

Spec by spec

SpecJunieKilo Code
Architecture
CategoryIDE extensionIDE extension
Runslocal, cloudlocal, cloud
Platformsmacos, linux, windowsmacos, linux, windows, web
Context windownot documentednot documented
Protocols
MCP clientYesYes
MCP serverNoNo
Capabilities
Runs terminal commandsYesYes
Multi-file editsYesYes
Git operationsNoYes
Browser controlNoNo built-in browser or Playwright tool in either the CLI or the IDE plugin; web automation only arrives through a user-added MCP server. YesA Playwright-backed browser tool that navigates, clicks, fills forms, drags and screenshots after each action; it needs a high-capability agentic model to work reliably.
Sandboxed executionNoParallel sessions are isolated with Git worktrees, not containers or OS-level sandboxing. YesCloud Agents run in isolated Linux containers, and the local CLI has an opt-in OS-level sandbox using macOS Seatbelt via sandbox-exec or Linux bubblewrap (not available on Windows).
Multi-agent orchestrationNoYes
Headless / CI modeYes`junie --auth="$JUNIE_API_KEY" "<prompt>"` runs one-shot in CI, with documented GitHub Action and GitLab CI/CD integrations. Yes`kilo run --auto` auto-approves permissions for fully non-interactive CI/CD runs.
Models
BackboneClaude, GPT, Gemini, GrokClaude, GPT, Gemini, Ollama, LM Studio
Bring your own modelYesJunie CLI takes JSON model profiles pointing at any OpenAI-, Anthropic- or Gemini-compatible base URL, including enterprise proxies and LiteLLM gateways. Yes
Local modelsYesDocumented setups for Ollama, LM Studio and LiteLLM through the same custom-endpoint profiles. Yes
Cost
Pricing modelmixedmixed
Starts at$10/mo$0/mo
Free tierYesYes
Bring your own keyYesYour own OpenAI, Anthropic, Google, xAI, OpenRouter or GitHub Copilot key, via /account in the CLI. Yes
Openness
Open sourceNoYes
LicenseproprietaryMIT
GitHub starsn/a27,467

Which one would each critic pick

CriticJunieKilo CodePick
El Juez——not enough reviews
El Amigo7.07.3Kilo Code — Pick Kilo if you want one tool that covers the editor, the terminal and JetBrains; pick Cline if you would rather run the upstream and forgo the bundle.
El Crítico6.36.0Junie — Junie's credit table prices chat generations but not agent runs, its Brave mode removes confirmations with no sandbox behind it, and its headline benchmark is a rolling set with a pass@5 attached.
El Profesor7.05.5Junie — Junie's SWE-rebench first place is a rolling-set result that moves run to run by the organizer's own account, and its debugger integration is a verification channel most agents on this board lack.
La Inversora8.06.3Junie — JetBrains sells IDE renewals, and Junie is a retention feature priced through AI plans, which means the agent does not need to win, it needs to be good enough that nobody leaves.
La Jefa7.56.8Junie — Pooled credits through JetBrains Central, admin-set spending limits, and an Enterprise AI plan at $60 a user on IDE licenses we already hold; approved with conditions until the burn rate is measured.
El Hacker6.07.3Kilo Code — MIT, Ollama and LM Studio documented, MCP servers in JSON with a per-server timeout, and a CLI that is OpenCode under the hood, so I can read both halves.

Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.

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