11. E Evaluating AI agents: moving past the vibe check A practical engineering guide and reference architecture for establishing continuous evaluation pipelines for multi-turn AI agents using Gemini Enterprise Agent Platform, Google AD 刚刚更新 ♡
12. T Three layers, one repo: a tour of google/adk-recipes The google/adk-recipes repository unifies Agent Development Kit (ADK) resources into three structured layers—core/, plugins/, and contrib/—serving as a single source of truth for b 刚刚更新 ♡
13. A Announcing MCP support in Apigee hybrid: agentic tools that run in your own cluster Apigee hybrid 1.17.0 introduces native Model Context Protocol (MCP) support, enabling the MCP data plane to run directly within your own Kubernetes cluster. This architecture ensur 刚刚更新 ♡
14. O Optimizing a 200,000-line Python codebase overnight with Gemini 4 Argon How our engineering team ran Gemini 4 Argon unattended overnight with .agents/skills and /goal mode to cut in-memory session prep overhead by 40% in long sessions and speed up cold 刚刚更新 ♡
15. G Gemini 4 Argon for Robotics Gemini 4 Argon is a general-purpose physical reasoning model designed to enhance workflows across the robotics stack with advanced capabilities in physical understanding, code gene 刚刚更新 ♡
16. M ML Drift: Next-Gen GPU AI/ML Inference at the Edge Google AI Edge has introduced ML Drift, a high-performance, universal GPU compute framework designed to accelerate on-device AI and machine learning inference. By abstracting the c 刚刚更新 ♡
17. T The Outer Loop, Insights First: An Ambient Quality Agent That Diagnoses Your Production Agent How do you keep improving an AI agent after the first 80%, once it serves real production traffic and silent quality regressions return HTTP 200 OK? We are open-sourcing AQuA (Ambi 刚刚更新 ♡
18. S Supercharge your development with the Google Developer Knowledge API ecosystem Google is launching the Developer Knowledge API and MCP Server in public preview. This new toolset provides a canonical, machine-readable way for AI assistants and agentic platform 刚刚更新 ♡
19. E EmbeddingGemma 2: The Developer Guide EmbeddingGemma 2 is a compact, open-source multimodal embedding model that maps text, code, images, video, and audio into a unified 768-dimensional space. Developers can use the se 刚刚更新 ♡
20. B Bring multimodal semantic search to the edge with EmbeddingGemma 2 EmbeddingGemma 2 is a new 740M open-weight multimodal model that maps text, images, video, and audio into a unified vector space for privacy-first, on-device retrieval. Developers 刚刚更新 ♡