今日已更新 80 条资讯 | 累计 20052 条内容
关于我们

标签:#Generative AI

找到 21 篇相关文章

工具

AWS Previews FinOps Agent for Cost Analysis and Optimization

Amazon has released AWS FinOps Agent in public preview, a managed service that automates several common FinOps workflows. The agent can investigate cost anomalies, correlate spend changes with AWS activity data, and integrate with tools such as Slack and Jira to route findings to resource owners. By Renato Losio

2026-06-28 原文 →
AI 资讯

AI Coding Agents Get a Stack Overflow of Their Own

Stack Overflow has announced Stack Overflow for Agents, a beta API-first knowledge exchange aimed at AI coding agents rather than human developers. The service is presented as a way to close what the company calls the Ephemeral Intelligence Gap, where agents repeatedly rediscover the same fixes and patterns in isolation instead of sharing them through a common memory. By Matt Saunders

2026-06-16 原文 →
AI 资讯

Oracle's OpenJDK Bans Generative AI Contributions While Oracle's GraalVM Allows Them

Two related, Oracle-backed projects published opposing policies on open-source contributions created with generative AI: The OpenJDK Governing Board approved an interim policy prohibiting such contributions, while the Coding Assistants policy from GraalVM permits them. Both projects require contributors to sign the same Oracle Contributor Agreement (OCA) for intellectual property. By Karsten Silz

2026-06-12 原文 →
开发者

Celebrating 20 Years of InfoQ

InfoQ celebrates its 20th anniversary. To mark the occasion, we have published a walk-through of the trends InfoQ called early, where they sit on the adoption curve today, and how that curve may evolve over the next decade. By InfoQ

2026-06-08 原文 →
AI 资讯

Sarang Kulkarni on Lessons from Building Deep Research Agents in Production

Deep Research Agentic Systems are AI Agents designed to conduct multi-step research for complex tasks using dynamic reasoning, multi-hop information retrieval, and generate structured analytical reports. Sarang Kulkarni from Thoughtworks spoke at Arc of AI Conference 2026 on how to deploy multi-agent research systems for deep reasoning, and the lessons learned from developing Deep Research Agents. By Srini Penchikala

2026-05-27 原文 →