This post explains how to build an intelligent personal finance assistant by combining LlamaParse and Gemini 3.1 Pro to extract structured data from complex financial PDFs.
This article guides developers through key AI agent protocols (MCP, A2A, UCP, AP2) by building a practical restaurant supply chain agent using Google's Agent Development Kit (ADK).
Google announces the open-source Colab MCP Server, enabling any MCP-compatible AI agent to programmatically control Google Colab notebooks.
Gemini CLI introduces plan mode, a read-only exploration mode that analyzes codebases and plans complex changes before any modifications are made.
Google introduces two new AI-powered features, Finish Changes and Outlines, to Gemini Code Assist extensions for IntelliJ and VS Code, powered by Gemini 3.0.
This post covers recent feature updates to Gemini Code Assist aimed at improving the core coding experience through AI assistance.
Google Cloud introduces Wednesday Build Hour, a weekly live interactive session led by Google Cloud experts to help developers build and deploy real-world cloud and AI solutions.
TensorFlow 2.21 introduces major updates to the LiteRT stack and operator support for lower-precision data types.
This post serves as a developer's guide to Google Cloud Next '26, taking place in Las Vegas on April 22-24, 2026, making the case for attending in person over watching streams.
This post describes how Google built the interactive Save the Date puzzle experience for Google I/O 2026 using Gemini AI models throughout development.
Google announces a major expansion to the Agent Development Kit (ADK) ecosystem with third-party integrations across multiple categories.
This post announces major updates to Google AI Edge Gallery, showcasing on-device function calling powered by the compact FunctionGemma model on mobile hardware.
