👨‍🏫 Tutorial JetBrains AI Assistant 2025.2: Smarter Code, Local AI Power, And Image-Aware Chat

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JetBrains AI Assistant has rolled out a powerful 2025.2 upgrade, delivering sharper completions, offline flexibility, and tighter IDE integration — unlocking new ways to code smarter and faster.

Smarter Code Completion

  • Expanded language coverage: Now supports SQL, YAML, JSON, Text, and Markdown in addition to core programming languages.
  • Context-aware suggestions: Enhanced via RAG-powered understanding and the in-house Mellum LLM, ensuring more relevant results.
  • Multiline completions for Java and C++ for richer local code proposals.

Local Model Integration

  • Connect offline-friendly AI models for coding without relying on cloud:
    • Qwen2.5-Coder
    • DeepSeek-Coder 1.3B
    • CodeStral
    • Open-source
    • Spoiler contents are visible only to Established Members.
  • Uses OpenAI-compatible servers, enabling seamless switching between cloud and local inference.


Image-Aware AI Chat

  • Attach screenshots directly in chat when using Anthropic or OpenAI models.
  • AI can analyze images, extract code, spot errors, generate missing classes, and interpret architectures without tedious manual description.


Smarter Model Selection

  • Automatic model selection for chat actions, balancing speed, accuracy, and cost.
  • Visual indicators show:
    • Cost tier
    • Reasoning capability
    • Beta/Experimental status


All AI features are free — unlimited local completions and limited cloud features!
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Why it matters: This update transforms JetBrains AI Assistant into a context-smart, offline-capable, multimodal coding partner — giving developers unprecedented control over AI workflows right inside their IDE.
 

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