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Compare/DevoxxGenie vs Junie

DevoxxGenievsJunie

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

DevoxxGenie
Devoxx · IDE extension
#22OSSMCP
Panel
7.7
3 spec wins
Reliability
7.2
Usefulness
7.5
Cost
8.8
Longevity
7.3

“It ships a kanban board backed by Backlog.md, so your agent can now be blocked on a ticket like everybody else.”

Junie
JetBrains · IDE extension
#34MCP
Panel
7.0
1 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.”

Spec by spec

SpecDevoxxGenieJunie
Architecture
CategoryIDE extensionIDE extension
Runslocallocal, cloud
Platformsmacos, linux, windowsmacos, linux, windows
Context windownot documentednot documented
Protocols
MCP clientYesYes
MCP serverNoNo
Capabilities
Runs terminal commandsYesAgent Mode ships a run_command tool alongside its file and search tools. Yes
Multi-file editsYesYes
Git operationsNoNo
Browser controlNoNoNo built-in browser or Playwright tool in either the CLI or the IDE plugin; web automation only arrives through a user-added MCP server.
Sandboxed executionNoNoParallel sessions are isolated with Git worktrees, not containers or OS-level sandboxing.
Multi-agent orchestrationYesAgent Mode runs parallel sub-agents, and ACP and CLI runners let it drive Claude Code, Codex, Gemini CLI, Kimi and Copilot as external agents. No
Headless / CI modeNoYes`junie --auth="$JUNIE_API_KEY" "<prompt>"` runs one-shot in CI, with documented GitHub Action and GitLab CI/CD integrations.
Models
BackboneOllama, LMStudio, GPT4All, Llama.cpp, OpenAI, Anthropic, Gemini, Mistral, Groq, DeepSeek, Kimi, GLM, OpenRouter, Azure OpenAI, Amazon BedrockClaude, GPT, Gemini, Grok
Bring your own modelYesYesJunie CLI takes JSON model profiles pointing at any OpenAI-, Anthropic- or Gemini-compatible base URL, including enterprise proxies and LiteLLM gateways.
Local modelsYesYesDocumented setups for Ollama, LM Studio and LiteLLM through the same custom-endpoint profiles.
Cost
Pricing modelbyokmixed
Starts at$0/mo$10/mo
Free tierYesYes
Bring your own keyYesYesYour own OpenAI, Anthropic, Google, xAI, OpenRouter or GitHub Copilot key, via /account in the CLI.
Openness
Open sourceYesNo
LicenseMITproprietary
GitHub stars684n/a

Which one would each critic pick

CriticDevoxxGenieJuniePick
El Juez——not enough reviews
El Amigo8.07.0DevoxxGenie — Pick DevoxxGenie if you live in IntelliJ and want an agent that edits code for free; pick Firebender if you would rather pay someone to answer the phone when it breaks.
El Crítico7.06.3DevoxxGenie — The run_command tool executes on your machine inside the IDE process, with no isolation layer described between a generated command and your shell.
El Profesor8.07.0DevoxxGenie — Gitleaks, OpenGrep and Trivy are wired in as agent tools and their findings become prioritised backlog tasks, which grounds the work queue in analysers rather than in the model's opinion.
La Inversora7.38.0Junie — 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 Jefa7.37.5Junie — 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 Hacker8.86.0DevoxxGenie — MIT, and five local runtimes are first-class providers, so the whole loop runs with nothing leaving the machine. MCP servers install from a marketplace over stdio or HTTP and SSE.

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

Want a third column? The compare tool handles any two agents. Three-way comparisons are on the roadmap once the spec rows are all verified.
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