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Technical articles, insights, and best practices from Google Developer Experts across the Americas.

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Topics We Cover

  • Android

    Kotlin, Jetpack Compose, architecture patterns

  • Firebase

    Backend services, real-time databases, auth

  • Google Cloud

    Cloud architecture, DevOps, infrastructure

  • :material-flutter:{ .lg .middle } Flutter

    Cross-platform development with Dart

  • AI & ML

    Generative AI, TensorFlow, ML Kit

  • Web

    Modern web development, PWAs, performance

  • Maps

    Maps Platform, location services

  • Ads

    AdMob, monetization strategies

  • Workspace

    Apps Script, Workspace APIs

Write for the Community

Share your expertise with developers across the Americas!

Contribution Guidelines How to Write a Blog Post

  • in AI & ML
  • 6 min read

Google Gemini Vision for Computer Vision Workflows

Multimodal AI models are changing how we build, debug, and improve computer vision datasets. Google's Gemini Vision models, spanning from Nano to Pro, combine powerful visual understanding with natural language, unlocking workflows that were previously manual, slow, or impossible.

  • in General
  • 5 min read

Writing Effective Technical Blog Posts: A Practical Guide

Writing technical content can be challenging. You want to share your knowledge, help others solve problems, and establish yourself as an expert—but where do you start? After years of writing and reading technical blogs, I've learned that great posts aren't just about having deep technical knowledge. They're about communication, structure, and empathy for your readers.

  • in General
  • 1 min read

Welcome to the GDE Americas Hub Blog

We're excited to launch the official blog for the GDE Americas community! This is where Google Developer Experts from across North, Central, and South America will share technical insights, best practices, and real-world experiences.

Building Collaborative AI Agent Ecosystems: A Deep Dive into ADK, MCP & A2A with Pokemon

Introduction: The Future of AI is Collaborative Imagine asking an AI agent about Pokémon...

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Introduction: The Future of AI is Collaborative

Imagine asking an AI agent about Pokémon and getting not just basic information, but comprehensive analysis comparing battle statistics, type effectiveness calculations, and fun trivia — all generated through seamless collaboration between specialized AI agents. This isn’t science fiction; it’s what we can build today using Google’s cutting-edge agent technologies.

How to Get Automatic Code Review Using LLM Before Committing

Traditional code reviews can be time-consuming and prone to human error. To streamline this process...

Traditional code reviews can be time-consuming and prone to human error. To streamline this process and enhance code quality, developers are increasingly turning to AI-powered solutions. In this blog post, you'll explore how to leverage Code Llama, a cutting-edge AI model for code analysis, in conjunction with Docker to create an efficient and automated code review workflow. By integrating Code Llama into your local development environment, you can catch potential issues early in the development cycle, reduce the burden on human reviewers, and ultimately deliver higher-quality code. This guide is designed for developers of all levels who want to improve their coding practices.