Using Google Gemini With PostQode
PostQode supports Google's Gemini family of models through the Google AI Gemini API.
Website: https://ai.google.dev/
Getting an API Key
- Go to Google AI Studio: Navigate to https://ai.google.dev/.
- Sign In: Sign in with your Google account.
- Create API Key: Click on "Create API key" in the left-hand menu.
- Copy API Key: Copy the generated API key.
Supported Models
PostQode supports the following Gemini models:
gemini-3.7-flash(Flagship high-speed multimodal reasoning with 1M context)gemini-3.1-pro-preview(1M+ context reasoning)gemini-3.1-flash-lite(Ultra-fast, minimal latency)gemini-2.5-pro(Multimodal reasoning)gemini-2.5-flash(High-speed, long-context)gemini-2.0-flashgemini-2.0-flash-thinking-exp-01-21(Extended reasoning)gemini-1.5-pro(2M token context window)gemini-1.5-flash
Refer to the Google AI Gemini documentation for detailed capability specifications.
Configuration in PostQode
- Open PostQode Settings: Click the gear icon () in the PostQode panel.
- Select Provider: Choose "Google Gemini" from the "API Provider" dropdown.
- Enter API Key: Paste your Gemini API key from Google AI Studio.
- Select Model: Choose your desired Gemini model from the dropdown (e.g.
gemini-3.7-flashfor high-speed agentic coding orgemini-2.5-profor deep multimodal reasoning).
Tips and Notes
- Massive Context Windows: Gemini models support up to 2 million tokens of context, making them ideal for repository-wide analysis.
- Pricing & Free Tier: Google AI Studio offers generous free rate limits for developers. Refer to the Gemini Pricing Page for details.