Engineering posts about Gemini
Curated summaries and key learnings for engineers working with Gemini.
Empowering Service Providers and Hardware Partners with Gemini for Home
The article outlines the advancements in the Google Home platform with the introduction of the Gemini framework, which enhances home automation through proactive AI capabilities. It highlights the...
A Smarter Google AI Edge Gallery: MCP integration, notifications, and session continuity
The Google AI Edge Gallery has introduced significant enhancements, including support for the Model Context Protocol (MCP), which allows for dynamic tool integration and improved interaction with...
All the news from the Google I/O 2026 Developer keynote
The Google I/O 2026 Developer keynote highlighted significant advancements in AI and development tools, particularly the introduction of the Gemini 3.5 series of models and the Antigravity platform....
Blazing fast on-device GenAI with LiteRT-LM
The article provides an in-depth exploration of LiteRT-LM, an advanced framework for deploying the Gemma 4 model across various platforms, including Android, iOS, and web environments. It highlights...
Building with Gemini Embedding 2: Agentic multimodal RAG and beyond
The article introduces Gemini Embedding 2, a multimodal embedding model that integrates various data types, including text, images, video, and audio, into a unified embedding space. This model...
Governing Coding Agent Sprawl with Unity AI Gateway
The article introduces the Coding Agent Support in Unity AI Gateway, aimed at providing a centralized governance solution for AI coding tools. It highlights the challenges organizations face with...
Subagents have arrived in Gemini CLI
The article introduces subagents in the Gemini CLI, a feature that allows the CLI to delegate complex tasks to specialized agents. Each subagent operates independently with its own context, tools,...
Bring state-of-the-art agentic skills to the edge with Gemma 4
Google DeepMind has introduced Gemma 4, a cutting-edge framework designed for on-device AI development, enabling developers to create agents and autonomous AI applications without the need for...
Closing the knowledge gap with agent skills
The article explores the limitations of large language models (LLMs) in keeping up with rapidly changing software engineering practices and introduces agent skills as a solution to close the...
Jump to play: Building with Gemini & MediaPipe
The article explores the integration of Gemini and MediaPipe for developing interactive applications and games that utilize real-time input control. MediaPipe offers a suite of machine learning...
Build a smart financial assistant with LlamaParse and Gemini 3.1
This article outlines the process of building a smart financial assistant using LlamaParse and Gemini 3.1, focusing on extracting text and tables from unstructured documents like brokerage...
Plan mode is now available in Gemini CLI
The article introduces plan mode in Gemini CLI, a new feature designed to enhance the planning and execution of complex software changes in a safe, read-only environment. This mode allows developers...
How we built the Google I/O 2026 Save the Date experience
The article details the creation of the Google I/O 2026 Save the Date experience, emphasizing the integration of AI technologies to enhance developer workflows. It describes how the team utilized...
Turn creative prompts into interactive XR experiences with Gemini
The article explores how the Gemini web app enables developers to create immersive extended reality (XR) experiences by leveraging its capabilities in generating interactive 3D web graphics. It...
Making Gemini CLI extensions easier to use
The article discusses the introduction of extension settings for Gemini CLI, aimed at simplifying the configuration process for users. It highlights the benefits of automated setup, integrated...
Tailor Gemini CLI to your workflow with hooks
The article introduces Gemini CLI hooks, a feature that allows developers to customize the behavior of the Gemini CLI without modifying its source code. Hooks act as middleware, enabling users to...
Real-World Agent Examples with Gemini 3
The article explores the capabilities of Gemini 3 as a core orchestrator for building complex AI agents capable of handling real-world tasks. It highlights various open-source frameworks and tools...
Conductor: Introducing context-driven development for Gemini CLI
The article introduces Conductor, a new extension for the Gemini CLI that facilitates context-driven development by allowing developers to create formal specifications and plans in Markdown files....
Introducing Agent Development Kit for TypeScript: Build AI Agents with the Power of a Code-First Approach
The Agent Development Kit (ADK) for TypeScript is an innovative framework designed to facilitate the development of intelligent, autonomous multi-agent systems. By adopting a code-first approach, ADK...
Gemini 3 Flash is now available in Gemini CLI
The article announces the availability of Gemini 3 Flash in the Gemini CLI, emphasizing its efficiency in high-frequency workflows typical of terminal-based work. It highlights the model's...