Search - Google Developers Blog Community/Events Learn Blog YouTube Search Community/Events Learn Blog YouTube Search 173 results Clear filters Filter by Content Type Select all Announcements Beginner Best Practices Business and Leadership Case Studies Code Health Community Documentation Events Explore Hard How-To Guides Industry Trends Intermediate Learn Performance Problem-Solving Project Management/Agile Q&A Release Notes Solutions Testing TotT Tutorials Product Select all Ads AI Edge Android Angular AR Assistant Auto Checks Chrome OS Chrome Web Cloud DeepMind Design Engineering Firebase Flutter Gemini Gemma Geo Go Google AI Studio Google Labs Google Pay IDX Kaggle Keras Matter Pay Play Search Smart Home TensorFlow TV Wallet Wear OS Workspace Technology Select all AI Cloud Mobile Web APRIL 14, 2026 / AI Build Better AI Agents: 5 Developer Tips from the Agent Bake-Off The Google Cloud AI Agent Bake-Off highlights a shift from simple prompt engineering to rigorous agentic engineering, emphasizing that production-ready AI requires a modular, multi-agent architecture. The post outlines five key developer tips, including decomposing complex tasks into specialized sub-agents and using deterministic code for execution to prevent probabilistic errors. Furthermore, it advises developers to prioritize multimodality and open-source protocols like MCP to ensure agents are scalable, integrated, and future-proof against rapidly evolving model capabilities. APRIL 7, 2026 / AI TorchTPU: Running PyTorch Natively on TPUs at Google Scale TorchTPU is a new engineering stack designed to provide a native, high-performance experience for running PyTorch workloads on Google’s TPU infrastructure with minimal code changes. It features an "Eager First" approach with multiple execution modes and utilizes the XLA compiler to optimize distributed training across massive clusters. Moving into 2026, the project aims to further reduce compilation overhead and expand support for dynamic shapes and custom kernels to ensure seamless scalability for the next generation of AI. APRIL 1, 2026 / AI Developer’s Guide to Building ADK Agents with Skills The Agent Development Kit (ADK) SkillToolset introduces a "progressive disclosure" architecture that allows AI agents to load domain expertise on demand, reducing token usage by up to 90% compared to traditional monolithic prompts. Through four distinct patterns—ranging from simple inline checklists to "skill factories" where agents write their own code—the system enables agents to dynamically expand their capabilities at runtime using the universal agentskills.io specification. This modular approach ensures that complex instructions and external resources are only accessed when relevant, creating a scalable and self-extending framework for modern AI development. MARCH 31, 2026 / AI Boost Training Goodput: How Continuous Checkpointing Optimizes Reliability in Orbax and MaxText The newly introduced continuous checkpointing feature in Orbax and MaxText is designed to optimize the balance between reliability and performance during model training, addressing issues with conventional fixed-frequency checkpointing. Unlike fixed intervals—which can either compromise reliability or bottleneck performance—continuous checkpointing maximizes I/O bandwidth and minimizes failure risk by asynchronously initiating a new save operation only after the previous one successfully completes. Benchmarks demonstrate that this approach significantly reduces checkpoint intervals and results in substantial resource conservation, especially in large-scale training jobs where mean-time-between-failure (MTBF) is short. MARCH 31, 2026 / AI ADK Go 1.0 Arrives! The launch of Agent Development Kit (ADK) for Go 1.0 marks a significant shift from experimental AI scripts to production-ready services by prioritizing observability, security, and extensibility. Key updates include native OpenTelemetry integration for deep tracing, a new plugin system for self-healing logic, and "Human-in-the-Loop" confirmations to ensure safety during sensitive operations. Additionally, the release introduces YAML-based configurations for rapid iteration and refined Agent2Agent (A2A) protocols to support seamless communication across different programming languages. This framework empowers developers to build complex, reliable multi-agent systems using the high-performance engineering standards of Golang. MARCH 30, 2026 / AI Announcing ADK for Java 1.0.0: Building the Future of AI Agents in Java Google has released version 1.0.0 of the Agent Development Kit (ADK) for Java, introducing powerful new features like Google Maps grounding, built-in URL fetching, and a standardized Agent2Agent protocol for cross-framework collaboration. The update enhances agent control through a new "App" and "Plugin" architecture, which allows for global logging, automated context window management via event compaction, and "Human-in-the-Loop" workflows for action confirmations. Additionally, the release provides robust session and memory services using Google Cloud integrations like Firestore and Vertex AI to manage long-term state and large data artifacts. MARCH 18, 2026 / AI Developer’s Guide to AI Agent Protocols This blog post introduces a suite of six protocols, such as MCP and A2A, designed to eliminate custom integration code by standardizing how AI agents access data and communicate. Using a "kitchen manager" agent as a practical example, it demonstrates how these tools handle complex tasks like real-time inventory checks, wholesale commerce via UCP, and secure payment authorization through AP2. By leveraging the Agent Development Kit (ADK), developers can also implement A2UI and AG-UI to deliver interactive dashboards and seamless streaming interfaces to users. MARCH 17, 2026 / Cloud Announcing the Colab MCP Server: Connect Any AI Agent to Google Colab When you’re prototyping locally with AI agents like Gemini CLI, Claude Code, or your own agent, thei... MARCH 9, 2026 / Cloud Introducing Wednesday Build Hour Wednesday Build Hour is a weekly, interactive "technical gym session" led by Google Cloud experts to help developers and architects sharpen their cloud skills. Moving beyond passive slide decks, the program focuses on hands-on building, covering advanced topics like AI agents, Vertex AI, and developer productivity tools. Each hour-long session is designed to provide tangible results that participants can immediately deploy into their own workflows. It serves as a consistent, dedicated space for builders to stay ahead of the curve and connect with a community of cloud engineers. MARCH 6, 2026 / Cloud What's new in TensorFlow 2.21 Google has officially launched LiteRT, the successor to TFLite, which offers significantly faster GPU and NPU acceleration alongside seamless support for PyTorch and JAX. The update also introduces lower-precision data type support for increased efficiency and a commitment to more frequent security and dependency updates across the TensorFlow ecosystem. This transition solidifies LiteRT as Google's primary high-performance framework for deploying GenAI and advanced on-device inference. Previous Next Filter Clear filters Content Type Select all Announcements Beginner Best Practices Business and Leadership Case Studies Code Health Community Documentation Events Explore Hard How-To Guides Industry Trends Intermediate Learn Performance Problem-Solving Project Management/Agile Q&A Release Notes Solutions Testing TotT Tutorials Product Select all Ads AI Edge Android Angular AR Assistant Auto Checks Chrome OS Chrome Web Cloud DeepMind Design Engineering Firebase Flutter Gemini Gemma Geo Go Google AI Studio Google Labs Google Pay IDX Kaggle Keras Matter Pay Play Search Smart Home TensorFlow TV Wallet Wear OS Workspace Technology Select all AI Cloud Mobile Web Connect Blog Bluesky Instagram LinkedIn X (Twitter) YouTube Programs Google Developer Program Google Developer Groups Google Developer Experts Accelerators Women Techmakers Google Cloud & NVIDIA Developer consoles Google API Console Google Cloud Platform Console Google Play Console Firebase Console Actions on Google Console Cast SDK Developer Console Chrome Web Store Dashboard Google Home Developer Console Android Chrome Firebase Google Cloud Platform All products Manage cookies Terms Privacy