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seo: improve page titles, descriptions, og:image, and H1 alignment
- Enrich generic page titles with keywords (Agent Mode, CLI Runners, Chat Interface, Project Scanner, etc.) for better SERP visibility - Shorten agent-mode.md description from 323 chars to SERP-safe 183 - Shorten cli-runners.md description from 219 chars to 190 - Add og:image frontmatter to 8 high-value pages missing social cards (agent-mode, rag, mcp_expanded, skills, inline-completion, appearance, local-models, cloud-models) - Align H1 tags with page title tags on introduction.md and overview.md - Add Related Features section with internal links to skills.md Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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docusaurus/docs/configuration/appearance.md

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title: Appearance Settings
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description: Customize the look and feel of the DevoxxGenie chat interface — colors, spacing, and font sizes.
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keywords: [devoxxgenie, appearance, theme, colors, fonts, customization, intellij plugin]
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image: /img/devoxxgenie-social-card.jpg
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# Appearance Settings

docusaurus/docs/features/acp-runners.md

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sidebar_position: 4
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title: ACP Runners
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title: ACP Runners - Agent Communication Protocol in IntelliJ IDEA
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description: Execute spec tasks via external ACP (Agent Communication Protocol) tools. DevoxxGenie communicates with ACP-compatible CLIs using JSON-RPC 2.0 over stdin/stdout for structured agent interactions.
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keywords: [devoxxgenie, acp runners, agent communication protocol, json-rpc, claude, kimi, gemini, kilocode, agent loop, spec-driven development]
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image: /img/devoxxgenie-social-card.jpg

docusaurus/docs/features/agent-mode.md

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sidebar_position: 2
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title: Agent Mode
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description: Enable agent mode to let the LLM autonomously explore and modify your codebase using built-in tools. Fetch web pages for documentation. Run tests automatically after code changes. Use PSI tools for semantic code intelligence. Use parallel sub-agents for concurrent read-only exploration. Enable or disable individual tools.
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title: Agent Mode - Autonomous AI Coding in IntelliJ IDEA
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description: DevoxxGenie Agent Mode lets your LLM autonomously explore, edit, and test your codebase using built-in tools, PSI code intelligence, and parallel sub-agents — in IntelliJ IDEA.
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image: /img/devoxxgenie-social-card.jpg
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keywords: [devoxxgenie, agent mode, sub-agents, parallel explore, codebase exploration, multi-agent, tools, run tests, test execution, fetch page, tool control, PSI, code intelligence, find references, find definition, find implementations]
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docusaurus/docs/features/chat-interface.md

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title: Chat Interface
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title: Chat Interface - AI Code Assistant in IntelliJ IDEA
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description: Use the DevoxxGenie chat interface to have code-related conversations with LLMs, add files to context, stream responses, and manage conversation history.
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keywords: [devoxxgenie, chat interface, conversation, code assistant, streaming, context files, intellij plugin]
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image: /img/devoxxgenie-social-card.jpg

docusaurus/docs/features/chat-memory.md

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sidebar_position: 8
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title: Chat Memory
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title: Chat Memory & Conversation Context - DevoxxGenie
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description: Configure DevoxxGenie's chat memory to control how much conversation context is sent to the LLM, balancing response quality with token usage.
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keywords: [devoxxgenie, chat memory, conversation context, memory size, token usage, llm context, chat history]
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image: /img/devoxxgenie-social-card.jpg

docusaurus/docs/features/cli-runners.md

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sidebar_position: 5
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title: CLI Runners
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description: Execute spec tasks via external CLI tools like Claude Code, GitHub Copilot CLI, OpenAI Codex CLI, Google Gemini CLI, or Kimi CLI. DevoxxGenie manages the task lifecycle while your preferred tool does the implementation.
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title: CLI Runners - Use Claude Code & Copilot in IntelliJ IDEA
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description: Use Claude Code, GitHub Copilot CLI, Codex, Gemini CLI, or Kimi CLI directly inside IntelliJ IDEA. DevoxxGenie CLI Runners manage spec task execution via your existing AI subscriptions.
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keywords: [devoxxgenie, cli runners, claude code, copilot, codex, gemini, kimi, cli tools, spec-driven development, sdd, agent loop]
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image: /img/devoxxgenie-social-card.jpg
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docusaurus/docs/features/dnd-images.md

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title: Drag & Drop Images
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title: Multimodal AI - Drag & Drop Images in IntelliJ IDEA
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description: Drag and drop images into DevoxxGenie to use multimodal LLMs like Gemini, Claude, and GPT-4V for visual code analysis, UI review, and diagram interpretation.
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keywords: [devoxxgenie, drag and drop, images, multimodal, vision, gemini, claude, gpt-4v, llava, screenshot]
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image: /img/devoxxgenie-social-card.jpg

docusaurus/docs/features/inline-completion.md

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title: Inline Code Completion
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description: Setup and configuration guide for DevoxxGenie's inline code completion feature using Fill-in-the-Middle (FIM) models via Ollama or LM Studio.
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keywords: [inline completion, code completion, intellij, fim, fill-in-the-middle, ollama, lmstudio, starcoder, qwen, deepseek-coder]
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image: /img/devoxxgenie-social-card.jpg
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import Tabs from '@theme/Tabs';

docusaurus/docs/features/mcp_expanded.md

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title: MCP Support - Model Context Protocol
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description: Learn how DevoxxGenie integrates with MCP servers to give your LLM access to external tools, files, databases, and APIs. Enable or disable individual tools per server.
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keywords: [devoxxgenie, mcp, model context protocol, tools, agents, intellij plugin, marketplace, tool control]
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# MCP Support

docusaurus/docs/features/overview.md

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# Features Overview
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# Features Overview - DevoxxGenie Documentation
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DevoxxGenie offers a comprehensive set of features designed to enhance your development workflow with AI assistance. This page provides an overview of the key features available in the plugin.
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