What LLM providers does DevoxxGenieIDEAPlugin support?

DevoxxGenieIDEAPlugin supports a wide range of local LLM providers including Ollama, LMStudio, GPT4All, Jan, and Llama.cpp. It also integrates with cloud-based LLMs such as OpenAI, Anthropic, Mistral, Groq, Gemini, DeepInfra, DeepSeek, Kimi, GLM, OpenRouter, Azure OpenAI, and Amazon Bedrock.

How does DevoxxGenieIDEAPlugin assist with security?

The plugin integrates Gitleaks for secret detection, OpenGrep for SAST issues, and Trivy for dependency CVEs. When Agent Mode is active, the LLM can invoke these tools, interpret results, and automatically create prioritized backlog tasks for remediation, streamlining security workflows.

Can DevoxxGenieIDEAPlugin automate development tasks?

Yes, through Spec Driven Development (SDD), you can define tasks in Backlog.md files and use the Agent to implement them autonomously. The Agent Loop can execute multiple tasks in a batch, sorting them by dependencies and advancing automatically upon completion.

DevoxxGenieIDEAPlugin

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DevoxxGenieIDEAPlugin is a Coding & Development tool that integrates local and cloud LLMs into IntelliJ IDEA for code review, testing, and explanation. It supports Spec Driven Development and offers security scanning features.

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Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Advanced

About

What is DevoxxGenieIDEAPlugin?

DevoxxGenieIDEAPlugin is a comprehensive Java-based LLM Code Assistant plugin for IntelliJ IDEA, designed to enhance developer workflows. It seamlessly integrates with a wide array of local LLM providers such as Ollama, LMStudio, GPT4All, and Llama.cpp, as well as cloud-based LLMs including OpenAI, Anthropic, and Gemini. Key features include Security Scanning with Gitleaks, OpenGrep, and Trivy, which automatically creates prioritized tasks for findings. The plugin also supports Spec Driven Development, allowing users to define tasks in Backlog.md, browse them in a Spec Browser, and let the AI agent implement them autonomously. Additionally, it offers AI-powered inline code completion, ACP Runners for external agent communication, and CLI Runners for executing prompts via external tools, making it a versatile solution for AI-augmented programming.

Best used for

Ideal for developers who need to leverage AI for code review, testing, and explanation within IntelliJ IDEA, implement spec-driven development, and automate security scanning. Especially valuable for those seeking to integrate both local and cloud-based LLMs into their development workflow for enhanced productivity and code quality.

Capabilities

Key features

Local/Cloud LLM integration
Security scanning
Spec Driven Development
Inline code completion
External agent communication
CLI prompt execution
Plugin integration API

Audience

developer individual freelancer smb developers

Integrations

ollamalmstudiogpt4allllama.cppopenaianthropicmistralgroq+ 16 more

FAQs

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