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Supports Claude Code, Codex, Mcp
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Devoxx Genie is a fully Java-based LLM Code Assistant plugin for IntelliJ IDEA, designed to integrate with local LLM providers such as Ollama, LMStudio, GPT4All, Llama.cpp and Exo but also cloud based LLM's such as OpenAI, Anthropic, Mistral, Groq, Gemini, DeepInfra, DeepSeek, Kimi, GLM, OpenRouter, Azure OpenAI, Amazon Bedrock and NVIDIA
🆕 Skills — Drop portable SKILL.md files into ~/.devoxxgenie/skills/, <project>/.devoxxgenie/skills/, .claude/skills/ or .agents/skills/ and the LLM activates them mid-conversation when relevant. The same files work in Claude Code, Codex and Gemini — and Custom Prompts have been renamed to Commands to make the distinction clear.
🆕 Security Scanning — Run Gitleaks (secret detection), OpenGrep (SAST) and Trivy (dependency CVEs) directly from the LLM agent. Findings are automatically created as prioritised tasks in the Spec Browser for tracking and remediation!
🆕 Spec Driven Development (SDD) — Define tasks in Backlog.md, browse them in the Spec Browser with Task List and Kanban Board views, then let the Agent implement them autonomously! Use the Agent Loop to run multiple tasks in a single batch with dependency ordering and automatic advancement.
🆕 AI-powered Inline Code Completion — Get context-aware code suggestions as you type using Fill-in-the-Middle (FIM) models via Ollama or LM Studio!
🆕 ACP Runners — Communicate with external agents (Kimi, Gemini CLI, Kilocode, Claude Code, Copilot) via the Agent Communication Protocol (JSON-RPC 2.0 over stdin/stdout) with structured streaming, conversation history, and capability negotiation!
🆕 CLI Runners — CLI Runners let you execute prompts and spec tasks directly from DevoxxGenie's chat interface or Spec Browser using external CLI tools like Claude Code, GitHub Copilot, Codex, Gemini CLI, and Kimi.
🆕 Plugin Integration API — Other IntelliJ plugins can integrate with DevoxxGenie at runtime via a reflection-based ExternalPromptService — no compile-time dependency required. Two real-world POCs show it in action: a SonarLint fork and a SpotBugs fork that each send code-quality findings to DevoxxGenie with a single click, or defer them as Backlog tasks for the SDD workflow.
With Agent Mode, MCPs and frontier models like Claude Opus 4.6, Gemini Pro, DevoxxGenie isn't just another developer tool — it's a glimpse into the future of agentic programming. One thing's clear: we're in the midst of a paradigm shift in AI-Augmented Programming (AAP) 🐒
We also support RAG-based prompt context based on your vectorized project files, Git Diff viewer, and LLM-driven web search with Google and Tavily.
Write a unit test and let DevoxxGenie generated the implementation for that unit test. This approach was explained by Bouke Nijhuis in his Devoxx Belgium presentation
An demo on how to accomplish this can be seen in this 𝕏 post.
Note: First run on a new version will download the IDE (~500MB-1GB), which may take several minutes.
Run the automated plugin verification against multiple IDE versions:
./gradlew verifyPlugin
This checks API compatibility without launching the full IDE.
It is recommended to use the publishPlugin task for releasing the plugin
./gradlew publishPlugin
Enjoy!