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AI frontier model updates & open source LLM releases
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📰 Google AI Blog - Driving the Agent Quality Flywheel from Your Coding Agent
Building AI agents often leaves developers uncertain if prompt tweaks to fix single errors will accidentally cause widespread regressions in production. To bridge this gap, Google has introduced a new developer skill for coding agents that automates a five-stage evaluation flywheel: preparing data, running inference, grading with adaptive AutoRaters, analyzing failure clusters, and executing targeted optimizations. Running continuously against production traffic or on-demand via synthetic scenarios, this tool allows developers to describe testing goals in plain language while an independent evaluation service safely validates and counts actual performance improvements.

https://developers.googleblog.com/en/driving-the-agent-quality-flywheel-from-your-coding-agent/


📰 Google AI Blog - Build reliable multi-agent applications with ADK Go 2.0. Discover our new graph-based workflow engine, built-in human-in-the-loop, and dynamic orchestration
The Agent Development Kit (ADK) for Go 2.0 has been released, introducing a first-class, graph-based workflow engine to help developers compose complex, multi-agent applications. This update adds built-in primitives for human-in-the-loop (HITL) orchestration, dynamic execution using plain Go code, and automated resilience features like exponential backoff retries. By unifying the execution model, both single-agent applications and intricate graphs now run on the same runtime, simplifying telemetry and state persistence.

https://developers.googleblog.com/en/announcing-adk-go-20/
📰 PyTorch - Miles: A PyTorch-Native Stack for Large-Scale LLM RL Post-Training
TL;DR Miles is RadixArk’s open source framework for large-scale LLM RL post-training. It composes SGLang for rollout, NVIDIA Megatron-LM for training, Ray orchestration, and PyTorch-native extensibility behind a small, pluggable...

https://pytorch.org/blog/miles-a-pytorch-native-stack-for-large-scale-llm-rl-post-training/
📰 Anthropic System Cards - Claude Sonnet 5


https://anthropic.com/claude-sonnet-5-system-card
📰 PyTorch - Shopify Joins the PyTorch Foundation as a Platinum Member
The PyTorch Foundation, a community-driven hub for open source AI under the Linux Foundation, is announcing today that Shopify has joined as a Platinum member. Shopify provides essential internet infrastructure...

https://pytorch.org/blog/shopify-joins-the-pytorch-foundation-as-a-platinum-member/
📰 Google AI Blog - ML Development in VS Code with Google Cloud Power: Workbench Extension Now Available
The Google Cloud Workbench Notebooks extension for VS Code has officially launched, allowing developers to connect their local IDE to scalable, cloud-based Jupyter environments. This integration streamlines the machine learning lifecycle by eliminating context switching and providing direct access to high-performance Google Cloud infrastructure. To support transparency and community-driven innovation, the newly released extension is fully open-sourced and available on GitHub and the VS Code Marketplace.

https://developers.googleblog.com/en/ml-development-in-vs-code-with-google-cloud-power-workbench-extension-now-available/


📰 Google AI Blog - Build agentic full-stack apps with Genkit
The open-source Genkit framework has introduced the Agents API, a full-stack tool designed to simplify the complex plumbing of conversational AI by packaging message history, tool loops, and streaming into a single interface. The API supports flexible, server- or client-managed state persistence—allowing for advanced workflows like history branching, long-running detached tasks, and multi-agent coordination—while seamlessly connecting backends to frontends via a unified wire protocol. Currently available in preview for TypeScript and Go, it also integrates with the Genkit Developer UI to allow developers to easily test, debug, and inspect agent snapshots without writing client code.

https://developers.googleblog.com/en/build-agentic-full-stack-apps-with-genkit/