Setting Up Your LLM Coding Environment

Step-by-step instructions for getting started with different LLM coding platforms and integrating them into your development setup.

Key Points:

  • Installing and configuring popular IDE extensions (e.g., GitHub Copilot in VSCode, JetBrains IDEs).
  • Getting started with AI-native IDEs (e.g., Cursor, Windsurf - covering installation and basic usage).
  • Setting up and running local models via Ollama for privacy or offline use.
  • Managing API keys, authentication, and usage limits for cloud-based tools.

Assets:

  • Configuration code snippets (e.g., VSCode settings JSON, basic Ollama run commands).
  • Callout (Inline Tip): “Tip: Consider starting with an IDE extension for minimal workflow disruption.”
  • Callout (Inline Note): “Note: Local models offer privacy benefits but may require more setup and computational resources.”