Google Gemini in Visual Studio Code
Your AI coding toolkit shouldn't be a monogamy situation. Here's how to add Google Gemini to your VS Code arsenal alongside (or instead of) GitHub Copilot.
Google's playing the same game as everyone else: $20/month, similar patterns, CLI tooling that'll feel instantly familiar if you've used Claude Code. The Gemini models are fast, the context windows are massive, and the ecosystem is maturing rapidly.
This quick start gets you from zero to productive with Gemini in VS Code.
=== TIMESTAMPS ===
00:00 - Why Gemini deserves a spot in your toolkit
01:15 - Google AI Pro subscription ($20/month tier)
02:00 - Required VS Code extensions walkthrough
03:30 - Gemini CLI installation via npm
04:15 - CLI authentication and commands
05:00 - The GEMINI.md context file
05:45 - Chat interface orientation
06:30 - Managing multiple AI assistants (puppies in a bag)
07:15 - Inline completions demo
08:30 - Non-agentic vs agentic mode explained
10:00 - Adding MCP servers to Gemini
11:30 - Settings and configuration deep dive
12:45 - Three-step summary and wrap-up
=== KEY RESOURCES ===
Gemini Code Assist Extension:
https://marketplace.visualstudio.com/...
Gemini CLI (npm):
https://www.npmjs.com/package/@anthro...
Google AI Pro Subscription:
https://one.google.com/about/ai-premium
=== KEY TAKEAWAYS ===
→ Gemini Code Assist + CLI Companion extensions are your foundation
→ Authentication uses standard Google identity federation
→ GEMINI.md in repo root provides persistent context (like CLAUDE.md)
→ Agentic mode required for MCP server integration
→ Disable competing inline completion providers to avoid conflicts
=== ABOUT ME ===
Tim Warner | Microsoft MVP | 28+ years in Microsoft tech
https://TechTrainerTim.com
#GoogleGemini #VSCode #GeminiCodeAssist #AICoding #GeminiCLI #MCPServers #AIDevTools #CodeAssistant
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