feeds.feedburner.comadded August 2026
Google Developers Blogby Shubham Saboo; Eric Dong7d ago
Frameworks like Agent Development Kit (ADK) make it incredibly simple to build multi-tool, autonomous workflows with just a few lines of configuration.
Google Developers Blog11d ago
HeyGen is an AI video generation platform featuring avatar models. Avatar IV, the diffusion stack behind our talking-head videos, runs on more than 18B parameters and is available via Web and API.
Google Developers Blogby Sherif Hanna11d ago
As AI transparency regulations and media provenance standards come into effect around the globe, determining content provenance has become a crucial requirement for modern media applications.
Google Developers Blogby Cameron Balahan; Richard Seroter13d ago
For a while now, software engineering has undergone a profound, fundamental shift: Where we once wrote most lines of code by hand, we now ask AI coding assistants and agents to generate large...
Google Developers Blogby Lu Wang; Terry Heo; Naushir Patuck; José María Casanova13d ago
Imagine building a fully autonomous robot that can see, hear, and react to its environment in real time, completely offline on a single compact device like Raspberry Pi.
Google Developers Blogby Kevin Hou; Haoyu Wang; Alan Blount18d ago
Agent Plugins 1.0.0 is an open, vendor-neutral specification for packaging Agent Skills and MCP servers into portable plugins.
Google Developers Blogby Mak Ahmad; Sanjay Pujare20d ago
When building AI applications, developers need the freedom to route traffic to the best model for the job without hardcoding endpoints or managing open-source proxies.
Google Developers Blogby Alex Martin; Dima Melnyk24d ago
Agent quality must be measured during development against the cases you wrote, and after launch against the tasks the agent actually performed.
Google Developers Blogby Ivan Nardini; Spencer Peterson24 Jul 2026
TL;DR: Part 2 of 2. Part 1 covered the one hardware idea you need and the two layers underneath (GKE and Ray Core).
Google Developers Blogby Haoyu Gao; Lance Wang; Shadi Noghabi; Tianshu Bao; Weiren Yu21 Jul 2026
The focus of LLM alignment has rapidly shifted from static chatbot alignment to dynamic agentic workflows.
Google Developers Blogby Ivan Nardini; Spencer Peterson20 Jul 2026
TL;DR: If you already scale Python with Ray on GPUs, your code can now run on TPU (Tensor Processing Unit, Google's AI accelerator chip) with fully supported official APIs you already know.
Google Developers Blogby Mahima Shanware; Sherzat Aitbayev; Jay Kornder16 Jul 2026
We introduced Conductor last year to bring spec-driven development directly to your terminal. By shifting project awareness out of ephemeral chat logs and into persistent, version-controlled...
Google Developers Blogby Simerus Mahesh16 Jul 2026
When you’re first building an AI agent, a single, monolithic system prompt is usually fine. You have a few instructions, maybe a tool definition or two, and everything lives in one readable file.
Google Developers Blogby Google14 Jul 2026
Deploying and serving a Mixture-of-Experts (MoE) model like Qwen3.5-397B on specialized hardware accelerators presents significant systems engineering challenges.
Google Developers Blogby Ping Yu; Marko Ristić; Matthew Soulanille; Chintan Parikh9 Jul 2026
We are excited to announce LiteRT.js, a JavaScript binding of LiteRT for running AI directly inside the web browser.
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