Gemini 3.1 Pro prompt guide
API and integration
4 source-checked resourcesGemini 3.1 Pro: Concise Prompting and Long-Context Question Placement
One-sentence takeaway Gemini 3.1 Pro is a reasoning model, and the official guidance recommends keeping prompts direct and concise. When processing long inputs, put the specific question at the end of the context and anchor the answer with “Based on the preced。
Gemini 3.1 Pro Thinking Levels, Structured Outputs, and Tool Configuration
One-sentence takeaway For Gemini 3.1 Pro, first fix thinkinglevel and the default temperature, then combine Search, URL context, function calling, and a JSON schema as needed; when bash/custom tools are required, prioritize testing the dedicated customtools en。
Spec-Driven Coding Workflow: Claude-Led Planning and Gemini-Isolated Execution
One-sentence takeaway When dealing with complex, long sessions and strict coding rules, a 4-step pipeline—where Claude Opus handles requirements decomposition and architecture auditing, Gemini 3.1 Pro executes single tasks in isolated new sessions, and Claude 。
Gemini 3.1 Pro: Open-Source Architecture Alignment and Multi-Model Pair Programming Workflow
One-sentence takeaway Leveraging Gemini 3.1 Pro's 1-million-token context window, directly inject the full architecture and best-practice code from mature open-source repositories, combined with multi-model cross-review, to achieve high-quality enterprise-grad。
Gemini 3.1 Pro
Use in Tabbit
Curated prompt patterns, model settings, and practical examples for Gemini 3.1 Pro, with the original source attached to every entry.