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.”
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