Overview of LLM Coding Tools and Platforms

A summary of the capabilities, target use cases, and characteristics of the LLM coding tools and platforms mentioned in the guide.

Key Points:

  • IDE Extensions (Copilot)
    • GitHub Copilot: Focus (inline completion, chat), Integration (IDE extension), Model (OpenAI/Microsoft), Pros/Cons.
  • AI-Native IDEs
    • Cursor: Focus (AI-native editor, chat, code analysis), Integration (Standalone IDE), Model (various, including GPT-4), Pros/Cons.
    • Windsurf: Focus (specific features), Integration, Model, Pros/Cons (based on available information).
  • Local Deployment
    • Ollama: Focus (running local models), Integration (API, CLI, IDE extensions), Model (various open-source models), Pros/Cons (privacy vs. setup/resource needs).
  • Comparison summary (e.g., table format) highlighting key differences (cloud vs. local, IDE integration vs. native, features).

Assets:

  • 📄 LLM Platform Feature Table

Last modified 27.04.2025: Drop repetition of title and description Fix md violations (0548d06)