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  Genkit is Google's open-source framework designed for building full-stack, AI-powered and agentic applications. Genkit is a set of modular building blocks that help you transition from making simple model requests to creating highly autonomous, reliable and production-ready AI systems. To understand what it offers you must compare it to how one builds AI applications at the moment. https://www.i-programmer.info/news/105-artificial-intelligence/19032-build-flexible-ai-agents-with-the-genkit-framework.html

  Colab integration has arrived for both VSCode and PyCharm. What does that now make possible? If you're familiar with Jupyter Notebook, you'll be right at home with Colab too. Colab addresses the limitations of the single-player notebook. Jupyter was created in an era before the cloud and the emergence of AI. Nowadays what is required is modern, collaborative tools that integrate into your existing stack. https://www.i-programmer.info/news/90-tools/18645-colab-is-coming-for-your-favorite-ide.html

  FunctionGemma is an open-source Google model fine-tuned for function calling that aims to revolutionize the way we interact with our devices. https://www.i-programmer.info/news/105-artificial-intelligence/18608-google-releases-functiongemma-model.html

  Google brings the power of Chrome DevTools to AI coding assistants with its Chrome DevTools Model Context Protocol server, now in public preview.  https://www.i-programmer.info/news/90-tools/18416-chrome-devtools-to-benefit-from-mcp.html

  New options are now available for Jules, Google's coding Agent - a CLI and an API.  We covered the release of Jules back in August, see  Google Jules Coding Assistant Now Available . To cut a long story short, we found that Jules is: https://www.i-programmer.info/news/105-artificial-intelligence/18404-jules-coding-agent-upgraded.html

  Google has released a small, specialized, but powerful model that can run on low resource devices. EmbeddingGemma is a new open embedding model that delivers value for money for its size. Based on the Gemma 3 architecture, it is trained on 100+ languages and is small enough to run on less than 200MB of RAM with quantization. https://www.i-programmer.info/news/105-artificial-intelligence/18358-google-releases-embeddinggemma-state-of-the-art-on-device-embedding.html

  Google's open source MCP server that allows AI agents to interact with SQL databases. The difference betweenm it and other MCP to SQL servers is that it takes out complexities such as connection pooling, authentication and observability so that the developer can solely focus on implementing the logic of his Agents https://www.i-programmer.info/news/89-net/18364-googles-mcp-toolbox-for-databases.html

  This is the general availability of the Java's interface to Google's Agent Development Kit, the toolkit for building smart AI agents. Google Agent Development Kit or ADK for short, is a flexible and modular framework for developing and deploying AI agents that promises an easier and more streamlined workflow for developers. While it integrates seamlessly with Google's products and especially Gemini, it's model and deployment agnostic thus it can be integrated to other agentic frameworks as well. https://www.i-programmer.info/news/80-java/18258-java-agent-development-kit-goes-ga.html

  Google has released a learning path for Generative AI. It's free and self paced and will introduce you to what Generative AI is, how it is used, and how it differs from traditional machine learning methods. Generative AI is all around us. It’s a type of AI that can map long-range dependencies and patterns in large training sets, then use what it learns to produce new content, including text, imagery, audio, and synthetic data.  https://www.i-programmer.info/news/150-training-a-education/16404-follow-googles-generative-ai-learning-path.html

  We frequently report on breakthroughs in AI achieved by GANs - but exactly what is a GAN? Let Google provide the answer with this guide to GANs for beginners which comes  with great illustrations, step-by-step guidance and down-to-earth language. With an unimaginative title, plainly called  Generative Adversarial Networks , this course is part of a wider collection of advanced courses on machine learning by Google. The rest are: full article on i-programmer: https://www.i-programmer.info/news/105-artificial-intelligence/15964-an-easy-introduction-to-generative-adversarial-networks-.html

Google seems determined to push heavily for ChromeOS judging from the announced goodies at its annual developer event, Gogle I/O.But is it at the expense of its other well-loved operating system, Android? ChromeOS is an ever-evolving operating system. At last year's Google I/O, its integration with Linux was announced, so that devs could use it create Linux apps. This year you can also create Android apps more easily than before. full article on i-programmer