◉GEMINI LABJP
●NANOLITE — Nano Banana 2 Lite is here: Google's fastest and most cost-efficient Gemini Image model, made for running lightweight image generation cheaply●OMNIFLASH — Gemini Omni Flash is in public preview, a natively multimodal model that lets enterprises and developers build custom, dynamic video workflows●AGENTS — Managed Agents expand with background: true for async server-side runs and polling, remote MCP server integration, and refreshing credentials across interactions●MEMORY — The Memory Bank IngestEvents API is generally available, decoupling event ingestion from memory generation so you can stream content continuously●THROUGHPUT — Provisioned Throughput now lets you submit up to seven pending orders for the same model and region●DEPRECATE — Image generation models shut down on August 17, and the Grok 4.1 family on the Gemini Enterprise Agent Platform on August 20●NANOLITE — Nano Banana 2 Lite is here: Google's fastest and most cost-efficient Gemini Image model, made for running lightweight image generation cheaply●OMNIFLASH — Gemini Omni Flash is in public preview, a natively multimodal model that lets enterprises and developers build custom, dynamic video workflows●AGENTS — Managed Agents expand with background: true for async server-side runs and polling, remote MCP server integration, and refreshing credentials across interactions●MEMORY — The Memory Bank IngestEvents API is generally available, decoupling event ingestion from memory generation so you can stream content continuously●THROUGHPUT — Provisioned Throughput now lets you submit up to seven pending orders for the same model and region●DEPRECATE — Image generation models shut down on August 17, and the Grok 4.1 family on the Gemini Enterprise Agent Platform on August 20
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⟐ Gemini Dev/2026-06-15Beginner

Building Web Apps with Gemini — Prompt Design and Pitfalls in Google AI Studio

How to structure your prompts when asking Gemini to build web apps in Google AI Studio — and the pitfalls I actually ran into as an indie developer.

⟐ Gemini Dev/2026-04-12Intermediate

Prompt Engineering for Gemini 2.5 Pro: 5 Techniques to Maximize Coding Output Quality

Five prompt design techniques that dramatically improve Gemini 2.5 Pro's code generation quality, with before-and-after comparisons and empirical results.

◎ Updates/2026-04-09Intermediate

Gemini 2.5 Pro Deep Think Guide: How Parallel Reasoning AI Surpassed o3 in Math and Coding

Discover how Google's new 'Deep Think' mode in Gemini 2.5 Pro works and why it achieves 49.4% on USAMO (compared to o3's 19.1%). Learn the parallel reasoning technology behind this breakthrough, explore real-world benchmarks, and master practical usage in Google AI Studio.

◉ Gemini Basics/2026-03-21Beginner

Learn Programming with Gemini — How to Turn AI into Your Coding Tutor

A beginner-friendly guide to learning programming with Google Gemini. From generating code and explaining errors to building custom study plans, discover how to use AI as your personal coding tutor.