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Board/IDE extensions/DevoxxGenie

DevoxxGenie

#21 overall#6 ide extensionverified Sep 4, 2026v1.14.2

IntelliJ plugin whose Agent Mode runs parallel sub-agents over its own file, search and run_command tools, with MCP and ACP

Key differences

IntelliJ plugin whose Agent Mode runs parallel sub-agents over its own file, search and run_command tools, with MCP and ACP

  • Runs local. Free and open source under MIT; you supply your own provider keys or run models locally through Ollama, LMStudio, GPT4All, Llama.cpp or Exo
  • Runs multiple agents. Listed for 18 of 49 tools in this category.
  • Runs local models. Listed for 25 of 49 tools in this category.
  • Keep in mind: Agent Mode ships a run_command tool alongside its file and search tools.

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

Website Docs 683 starsCompare vs…Dispute a fact
Appeal a claim or request ownership transfer

What it is

DevoxxGenie is an MIT-licensed IntelliJ IDEA plugin from the Devoxx conference organisation. Its Agent Mode is an autonomous loop over built-in file, search and run_command tools with multi-turn tool use and parallel sub-agents, so the plugin changes code itself rather than only talking about it. Around that it ships portable SKILL.md skills that also work in Claude Code, Codex and Gemini, user-defined slash commands, MCP support with an integrated marketplace for installing stdio and HTTP/SSE servers, spec-driven development backed by Backlog.md with a spec browser, kanban board and batch agent-loop execution in dependency order, and Gitleaks, OpenGrep and Trivy wired in as agent tools whose findings become prioritised backlog tasks. It also runs external agents through the Agent Communication Protocol or direct CLI invocation, and was built local-first: Ollama, LMStudio, GPT4All, Llama.cpp and Exo sit alongside the hosted providers.

Specification

Source verification

Row snapshot checked 2026-09-04. Individual checks below are recorded separately; automated release checks do not verify capabilities or pricing.

overview
Needs individual review
capabilities
Needs individual review
protocols
Needs individual review
models
Needs individual review
pricing
Needs individual review
license
Needs individual review
install
Needs individual review
first_release
Needs individual review

Architecture

Type
IDE extension
Runssrc ↗
local
Platforms
macos, linux, windows
Context windowsrc ↗
not documented
Languages
any

Models

Backbonesrc ↗
Ollama, LMStudio, GPT4All, Llama.cpp, OpenAI, Anthropic, Gemini, Mistral, Groq, DeepSeek, Kimi, GLM, OpenRouter, Azure OpenAI, Amazon Bedrock
Bring your own model
Yes
Local models
Yes

Protocols

MCP clientsrc ↗
Yes
MCP server
No
OpenAPI tools
No

Capabilities

Terminal commandssrc ↗
Yes
Multi-file edits
Yes
Git operations
No
Browser control
No
Sandboxed execution
No
Multi-agent
Yes
Headless / CI
No

Cost

Modelsrc ↗
byok
Starts at
$0/mo
Free tier
Yes
Bring your own key
Yes

Free and open source under MIT; you supply your own provider keys or run models locally through Ollama, LMStudio, GPT4All, Llama.cpp or Exo

Openness

Open sourcesrc ↗
Yes
License
MIT
First release
2024-04
open-sourcejetbrainslocal-modelsmcpacpskillssub-agents

Los Agentes on DevoxxGenie

Who are they?
The ruling
El JuezThe judge

El Profesor and El Hacker arrive at nearly the same score from opposite ends, and El Crítico's objection is about a wall that no tool in this category has.

Adopt
Reasoning and trade-offs · AI analysis

El Profesor rates it high because the checks it runs are external to the model. El Hacker rates it high because the inference can be external to everyone. Those are two different arguments for the same property, which is that this thing does not require you to trust it. El Crítico's complaint is real and generic: the shell is the shell.

El Crítico is overruled on relevance rather than on facts, because he is pricing a risk that every plugin here carries and this one at least gates behind an IDE you already run. Adopt, and point it at a local runtime first so the first week costs nothing.

Agree with El Juez?
El AmigoThe friend

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.

8.0
Reasoning and trade-offs · AI analysis

The deciding trait is that Agent Mode actually changes files rather than describing what you should change. It runs parallel sub-agents against a task, so a refactor that touches several corners of a module does not become four sequential conversations, and all of it happens inside the IDE where you already read diffs.

What you give up is a support contract and a roadmap somebody is paid to deliver. Pick it if free and in-editor is the combination you want. Pick Firebender when your Android team needs someone accountable.

reliability
7
usefulness
8
cost
10
longevity
7
Agree with El Amigo?
El CríticoThe critic

The run_command tool executes on your machine inside the IDE process, with no isolation layer described between a generated command and your shell.

7.0
Reasoning and trade-offs · AI analysis

The exposure is the command tool. It sits alongside the file and search tools as a peer, which means the loop treats running something and reading something as the same kind of step, and nothing in the published material describes a container, a command allowlist or a dry run between a model's suggestion and your terminal. That is a decision, not an oversight.

What it does right is stay inside a process you already trust. The plugin runs where your project is already open, so the credentials and paths it can reach are the ones you brought.

reliability
6
usefulness
7
cost
8
longevity
7
Agree with El Crítico?
El ProfesorThe professor

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.

8.0
Reasoning and trade-offs · AI analysis
  1. This is the correct direction of dependency. The agent is not asked to judge whether code is unsafe; a deterministic scanner makes that call and the agent is handed the result, so the finding is reproducible by anyone with the same tool and version. 2. Converting findings into ordered tasks turns a report into a plan without inserting a generative step between them.

  2. No benchmark is published and none is needed, because the capability being claimed is integration, and integration is demonstrated by naming the three programs it integrates.

reliability
8
usefulness
8
cost
8
longevity
8
Agree with El Profesor?
La InversoraThe investor

The publisher is a conference organisation, not a company, and it has shipped since April 2024 with 679 stars. Nobody here needs an exit, which is the point.

7.3
Reasoning and trade-offs · AI analysis

The ownership structure removes the failure mode that ends most tools on this board. There is no investor waiting, no burn rate, and no incentive to convert users into a meter, because the organisation behind it monetises tickets and sponsorships elsewhere. Two years of shipping is a cadence, and cadence from an unfunded project is a stronger signal than cadence from a funded one.

Moat: reputation inside a specific community, which is narrow and durable. Likely path: maintenance continues while the maintainers enjoy it. Position: the safest free bet in the JetBrains column, priced accordingly.

reliability
7
usefulness
7
cost
8
longevity
7
Agree with La Inversora?
La JefaThe CTO

Zero across sixty seats and installed from a marketplace my desktop policy already permits, with no console, no directory sync and no audit trail behind it.

7.3
Reasoning and trade-offs · AI analysis

Procurement is a formality here: nothing to sign, nothing to negotiate, and a licence my legal team reads once. The work lands on my platform team instead, because sixty installations configured individually means sixty places a provider setting can drift and no central answer to which model touched which repository.

It does not run unattended, so it never appears in my pipeline metrics and never becomes a dependency of a build. That limits the upside and also limits the damage. Approved with conditions: managed configuration, and provider settings pushed rather than chosen.

reliability
6
usefulness
7
cost
9
longevity
7
Agree with La Jefa?
El HackerThe tinkerer

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.

8.8
Reasoning and trade-offs · AI analysis

Local-first is claimed by many and meant by few. Naming Ollama, LMStudio, GPT4All, Llama.cpp and Exo as providers alongside the hosted ones tells me somebody actually tested against hardware rather than adding a checkbox, and it means the expensive default is a choice instead of a requirement.

The server marketplace covering both transports is the other detail I care about, because it means the things I already run reach the agent without a wrapper. Permissive licence, readable Java, and a fork stays viable. Very little left to complain about.

reliability
9
usefulness
8
cost
10
longevity
8
Agree with El Hacker?