AI 每日快讯

AI 每日快讯

AI 产品、模型、开源工具和官方动态的时间流。保留历史记录,按分类、日期和标签继续筛选。

915历史快讯
60开源工具
72当前结果
06 月 07 日 昨日快讯

InfoQ AI ML Data Engineering:ExtendDB: 开源 Amazon DynamoDB Compatible Adapter with Pluggable Storage Backends

原文摘要:AWS recently announced ExtendDB, a DynamoDB-compatible adapter that lets 开发者 use the DynamoDB API with different storage backends, starting with PostgreSQL. The project supp 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

06 月 06 日 2026-06-06 快讯

InfoQ AI ML Data Engineering:Cloudflare Identifies Query Planning Bottleneck in ClickHouse

原文摘要:Cloudflare recently described how a slowdown in its billing pipeline was traced to contention inside the query planning stage of ClickHouse. The team profiled the bottleneck and pa 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

06 月 05 日 2026-06-05 快讯

LinkedIn 平台团队如何用 MCP 和多 Agent 工具赋能 AI

一句话结论:LinkedIn 通过构建平台抽象层,利用 MCP 和多 Agent 工具实现大规模工程中的 AI 编排与安全工具调用。原始信息明确发生了什么:在 InfoQ 的演讲中,LinkedIn 的 Karthik Ramgopal 和 Prince Valluri 分享了如何超越碎片化实现,通过编排、结构化上下文和安全工具(如 MCP)构建平台抽象,并展示了实际编码、观察和 UI 测试 Agent 的架构。为什么值得关注:LinkedIn 的实践为大型组织提供了可复用的 AI 平台化路径,解决了多 Agent 协作中的上下文管理和安全难题。影响谁:平台工程团队、AI 架构师、技术管理者以及正在构建企业级 AI 基础设施的开发者。下一步怎么验证或使用:读者可观看 InfoQ 上的完整演讲,学习 LinkedIn 的架构设计思路,再评估自身组织是否适合引入 MCP 和平台抽象层,并从小规模 Agent 试点开始验证。

InfoQ AI ML Data Engineering:Dropbox Introduces Nova, an Internal Platform for Running AI Coding Agents at Scale

原文摘要:Dropbox has unveiled Nova, an internal platform designed to orchestrate and operationalize AI coding agents across the company's engineering 工作流. By Craig Risi 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:Google LiteRT-LM Speeds Up Local Inference Up to 2.2x With Gemma 4 Multi-Token Prediction

原文摘要:LiteRT-LM brings native support for Gemma 4 Multi-Token Prediction (MTP) drafters, enabling up to 2.2x faster inference. The framework is expanding beyond Kotlin and C++ adding sup 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:Article Series: Securing the AI Stack: From Model to Production

原文摘要:This series provides your roadmap for the machine age, exploring how to move from vulnerable prototypes to resilient systems through layered defense, robust MLOps, and integrated g 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

06 月 03 日 2026-06-03 快讯

InfoQ AI ML Data Engineering:Presentation: Choosing Your AI Copilot: Maximizing 开发者 Productivity

原文摘要:Sepehr Khosravi discusses the evolution of 开发者 productivity tools. Evaluating the strengths of tools like Cursor and Claude Code, he explains actionable techniques for senior 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:Article: Two Misconfigurations That Caused Spark OOM Failures on Kubernetes

原文摘要:After migrating Spark pipelines to Azure Kubernetes Service, two infrastructure settings interacted destructively: spark.kubernetes.local.dirs.tmpfs=true backed shuffle spill with 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

06 月 02 日 2026-06-02 快讯

InfoQ AI ML Data Engineering:Article: Why Vector Search Alone Isn't Enough: Hybrid Retrieval for RAG

原文摘要:In this article, author Aaditya Chauhan discusses the limitations of RAG pipelines based purely on vector search and how an internal omni-search application using Reciprocal Rank F 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

06 月 01 日 2026-06-01 快讯

InfoQ AI ML Data Engineering:Claude Code Adds Dynamic 工作流 for Parallel Agent Coordination

原文摘要:Anthropic introduced Dynamic 工作流, a new capability for Claude Code designed to handle complex software engineering tasks by coordinating large numbers of AI agents within a s 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:BadHost Vulnerability Exposes AI Agents, Evaluators, and LLM Gateways

原文摘要:BadHost is a high-severity authentication bypass vulnerability in the widely used Python web framework Starlette, with 325 million weekly downloads. The flaw allows attackers to us 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:Article: The AI Productivity Paradox in Test Automation: Moving Beyond Structural Validation…

原文摘要:The AI productivity paradox states that AI scales whatever abstraction it is built on. If that abstraction is structurally brittle, it scales structural brittleness. This article s 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

05 月 31 日 2026-05-31 快讯

InfoQ AI ML Data Engineering:DuckDB Quack: Client/Server Protocol over HTTP for Multi-User Analytics

原文摘要:DuckDB has recently announced Quack, a new remote protocol over HTTP that lets multiple DuckDB instances connect to and work with the same database over a network. The protocol int 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

05 月 30 日 2026-05-30 快讯

InfoQ AI ML Data Engineering:Arm Open-Sources Metis, an AI Security Framework Outperforming Traditional SAST Tools

原文摘要:Arm has open-sourced Metis, an agentic AI security framework designed to autonomously uncover complex software vulnerabilities. Unlike traditional pattern-based tools, Metis applie 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:How Meta Rebuilt Data Ingestion for Petabyte-Scale Reliability

原文摘要:The engineering team at Meta recently outlined how the company migrated a data ingestion platform that transfers several petabytes of MySQL social graph data daily to improve relia 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

Constellation Engine:为 AI Agent 赋予海马体,实现长期记忆与联想回忆

一句话结论:Constellation Engine 是一个本地优先、模型无关的认知架构,通过星图式记忆让 AI Agent 具备长期记忆和联想回忆能力。原始信息里明确发生了什么:开发者 CONSTELLATION-ENGINE 在 GitHub 上发布了 constellation-engine,它采用扩散激活、赫布学习、情景回忆和回合后巩固机制,构建了一个动态知识图谱。为什么值得关注:大多数 AI Agent 在关闭标签页后就会忘记之前的对话,Constellation Engine 通过类脑机制让 Agent 能长期记住并联想相关信息,这对于需要持续交互的助手场景至关重要。影响谁:主要影响 AI Agent 开发者、认知架构研究者、以及需要构建长期记忆型助手的团队。下一步怎么验证或使用:你可以部署 Constellation Engine 并接入一个 AI Agent,进行多轮对话后关闭标签页,第二天重新打开并询问之前讨论的细节,观察 Agent 是否能准确回忆并关联新信息。

05 月 29 日 2026-05-29 快讯

InfoQ AI ML Data Engineering:Presentation: Building Evals for AI Adoption: From Principles to Practice

原文摘要:Mallika Rao discusses the hidden risk of 评测 debt in production AI systems, drawing on her experience at Twitter, Walmart, and Netflix. She explains why traditional metrics 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:AI-Assisted Migration Tool Helps Teams Move from ingress-nginx to Higress in Minutes

原文摘要:The Cloud Native Computing Foundation has highlighted a new AI-assisted migration approach that enabled engineers to migrate 60 ingress-nginx resources to Higress in roughly 30 min 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:GitHub Slashes Agent 工作流 Token Spend up to 62% with Daily Audits and MCP Pruning

原文摘要:GitHub reports cutting token costs in agentic CI 工作流 by up to 62% by pruning unused MCP tools, swapping some MCP calls for gh CLI, and running daily “auditor” and “optimizer” 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

05 月 28 日 2026-05-28 快讯

InfoQ AI ML Data Engineering:Cloudflare Adds Support for Claude Managed Agents

原文摘要:Cloudflare recently added support for Claude Managed Agents, allowing 开发者 to run and manage Claude agents within Cloudflare. 开发者 can connect agents to private systems 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

05 月 27 日 2026-05-27 快讯

InfoQ AI ML Data Engineering:Sarang Kulkarni on Lessons from Building Deep Research Agents in Production

原文摘要: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 structu 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:Azure Logic Apps Adds Sandboxed Code Interpreters to Agent 工作流

原文摘要:Microsoft added sandboxed code interpreters to Azure Logic Apps, enabling agents within integration 工作流 to generate and execute Python, JavaScript, C#, and PowerShell in Hype 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:Presentation: Designing AI Platforms for Reliability: Tools for Certainty, Agents for Discov…

原文摘要:Aaron Erickson discusses the evolution of AI 工作流, shifting from "vibe checking" to building reliable, multi-agent frameworks. He explains how to combine deterministic softwar 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

05 月 26 日 2026-05-26 快讯

InfoQ AI ML Data Engineering:InfoQ Online Certification Program: New AI Engineering and Organizational Architecture Cohor…

原文摘要:InfoQ expands its online certification portfolio with new AI Engineering and Organizational Architecture cohorts, giving senior practitioners a confidential peer group to pressure- 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:Google Expands SynthID Adoption for AI Watermarking, Previews Content Detection API

原文摘要:Google's SynthID, designed to embed imperceptible signals into AI-generated content, is adding a new Content Detection API on Google Cloud's Gemini Enterprise Agent Platform, after 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:Article: Architecting Cloud-Native Kafka: From Tiered Storage Towards a Diskless Future

原文摘要:This article explores Kafka's transition toward a cloud-native architecture, examining how tiered storage, FinOps telemetry, elastic consumer scaling, virtual clusters, and Share G 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

05 月 25 日 2026-05-25 快讯

InfoQ AI ML Data Engineering:Microsoft Introduces MDASH for Large-Scale AI Vulnerability Research

原文摘要:Microsoft has introduced a new AI-driven vulnerability discovery system called MDASH, a multi-model agentic security platform designed to automate large-scale code auditing across 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:Gemma 4 Multi-Token Prediction Delivers Up to ~3x Faster Token Generation

原文摘要:Gemma 4 can be paired with multi-token prediction (MTP) drafters that use speculative decoding to generate multiple tokens in parallel, allowing the model to verify them in a singl 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

05 月 24 日 2026-05-24 快讯

awesome-architecture:21 张架构地图助你成为软件架构师

一句话结论:awesome-architecture 是一个中英双语的软件架构学习资源库,通过 21 张架构地图覆盖 AI 网关、RAG、智能体、推理服务、向量数据库等主题,并链接到真实开源原型。原始信息中明确发生了什么:该项目提供了 21 张架构地图,包括 AI 网关、RAG、智能体、推理服务和向量数据库等,每张地图都链接到真实开源原型,并附带语言无关的系统设计教程。为什么值得关注:对于希望从编码者转型为架构师的开发者,该项目提供了系统化的学习路径和实战参考,尤其适合准备系统设计面试或构建复杂分布式系统的人群。影响谁:主要影响后端开发者、系统架构师、技术面试准备者以及 AI 应用开发者。下一步怎么验证或使用:用户可以浏览仓库中的架构地图,选择感兴趣的主题(如 RAG 或 AI 网关),并查看对应的开源原型代码来加深理解。

InfoQ AI ML Data Engineering:Google Introduces Middleware Architecture for Genkit Applications

原文摘要:Google has introduced Middleware for Genkit, its open-source framework for building AI-powered and agentic applications. The update adds a programmable interception layer around mo 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:AWS MCP Server Reaches GA with Full API Coverage and IAM-Based Governance

原文摘要:AWS has recently made its managed Model Context Protocol (MCP) server generally available, giving AI coding agents controlled access to AWS APIs, documentation, and operational wor 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

05 月 23 日 2026-05-23 快讯

InfoQ AI ML Data Engineering:Google Cloud Introduces Cross-Engine Iceberg Support in BigQuery

原文摘要:At the Apache Iceberg Summit last month, Google announced new interoperability features for Apache Iceberg in BigQuery. The preview of the serverless Iceberg REST catalog lets team 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

05 月 22 日 2026-05-22 快讯

InfoQ AI ML Data Engineering:Uber Improves Restaurant Recommendations Using Real-Time Signals and Listwise Ranking

原文摘要:Uber updates its Uber Eats Home Feed recommendation system using near real-time user sequence features and a Generative Recommender model. The system evolves from hand-crafted feat 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:InfoQ Launches Online AI Engineering Cohort and Certification for Senior Software Practition…

原文摘要:InfoQ has launched a five-week online AI Engineering certification for senior practitioners working on production AI systems, covering RAG, agents, AI platforms, evals, reliability 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:Discord Rebuilds Database Operations Around Automation to Manage ScyllaDB at Massive Scale

原文摘要:Discord has detailed how it rebuilt its database operations around a new internal orchestration framework called the Scylla Control Plane (SCP), enabling its small infrastructure t 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:xAI Releases Grok Skills and Updates Tool Calling Responses API

原文摘要:xAI has released Grok Skills together with enhancements to the Responses API for Grok 4.3, enabling persistent custom expertise that the model retains across all conversations. By 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:Presentation: AI Native Engineering

原文摘要:Ian Thomas shares a case study on embracing AI-native engineering within Meta’s Reality Labs. He explains the "Assess and Grow" framework, a maturity model designed to move teams f 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:Cloudflare Completes Its Agent Infrastructure Stack with Browser Run Rebuild and Six-Layer P…

原文摘要:Cloudflare rebuilt Browser Run on its own Containers platform, delivering 4x higher concurrency and 50% faster response times. The upgrade completes a six-layer agent infrastructur 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

05 月 21 日 2026-05-21 快讯

InfoQ AI ML Data Engineering:Bintrail: MySQL Time-Travel Queries Using Indexed Binlogs

原文摘要:Bintrail is a recently introduced layer that brings point-in-time queries and row-history lookups to MySQL, the only major relational database lacking native temporal querying. Usi 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:Six Sessions at QCon AI Boston 2026 That Take Productionizing AI Seriously

原文摘要:QCon AI Boston 2026 is close to selling out. Six sessions where speakers engage directly with the gap between AI working in a demo and AI working in production. By Artenisa Chatzio 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:Presentation: The Ironies of A^2 I^2

原文摘要:J. Paul Reed discusses the "ironies of automation" - a 40 years-old concept now amplified by AI. He explains how advanced systems often make the human operator more crucial, not le 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

05 月 20 日 2026-05-20 快讯

InfoQ AI ML Data Engineering:Designing a Multi-Agent System for Engineering Support at Scale: A Case Study From Grab

原文摘要:Grab’s Central Data Team built a multi-agent AI system to automate repetitive engineering support tasks across its data warehouse platform. The system separates investigation and e 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:Presentation: The AI Gateway: Scaling Centralized Inference Across Decentralized Teams

原文摘要:Meryem Arik discusses why modern engineering teams face "inference chaos" and how AI model gateways provide a critical control layer. She explains the balance between empowering de 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

05 月 19 日 2026-05-19 快讯

InfoQ AI ML Data Engineering:Anthropic Introduces MCP Tunnels for Private Agent Access to Internal Systems

原文摘要:Anthropic has expanded its Claude Managed Agents platform with two enterprise-focused capabilities: self-hosted sandboxes and MCP tunnels. The release aims to address a recurring c 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:Agoda Builds Multimodal Content System to Bridge Images and Reviews in Travel Discovery

原文摘要:Agoda Multimodal Content Systemhttps://example.com/agoda-multimodal-content-systemAgoda unifies hotel images and guest reviews using a shared topic taxonomy, enabling multimodal re 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:Presentation: Powering the Future: Building Your GenAI Infrastructure Stack

原文摘要:Merrin Kurian shares the architectural blueprints and organizational processes behind Intuit’s AI transformation. She explains the "fixed, flexible, free" framework used to scale G 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

05 月 18 日 2026-05-18 快讯

InfoQ AI ML Data Engineering:Anthropic's Code With Claude Announces Managed Agents, Proactive 工作流, Capability Curve

原文摘要:Anthropic hosted "Code with Claude 2026" in San Francisco, featuring livestream sessions focused on Claude Code, the Claude API platform, and other projects. Key topics included de 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:Article: Building a Secure MCP Server on AWS for a Million-Company B2B Platform

原文摘要:We wanted to expose a B2B intelligence platform built on more than one million company profiles to an LLM client through an MCP server so a user can ask “find SaaS companies in Ger 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:Cloudflare and Stripe Let AI Agents Create Accounts, Buy Domains, and Deploy to Production

原文摘要:Cloudflare and Stripe launched a protocol that lets AI agents autonomously create cloud accounts, register domains, start subscriptions, and deploy to production. Stripe handles id 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

05 月 17 日 2026-05-17 快讯

编码 Agent 协作规范:OpenAI 开源 Symphony 项目管理方案

原文摘要:OpenAI Symphony is an agent orchestrator that uses project-management tools, like issue trackers, as a control plan to coordinate multiple coding agents. Instead of 开发者 mana 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

企业数据网格案例:大规模团队如何治理 AI 数据基础

原文摘要:Monzo recently redesigned its data warehouse to support more than 100 teams working on over 12000 dbt models. Introducing a so-called "meshy" approach, Monzo cut warehouse costs by 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

05 月 16 日 2026-05-16 快讯

Google 推出 Cloud Fraud Defense,接替 reCAPTCHA 防欺诈

原文摘要:At the recent Next ‘26 conference, Google introduced Google Cloud Fraud Defense, the successor to reCAPTCHA. The platform goes beyond basic bot detection to address broader online 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

05 月 15 日 2026-05-15 快讯

InfoQ AI ML Data Engineering:Anthropic Introduces Routines for Claude Code Automation

原文摘要:Anthropic has introduced a new feature called Routines for Claude Code, allowing 开发者 to configure automated coding 工作流 that run on schedules, through API calls, or in 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:Presentation: Using AI as a Thinking Partner for Large-Scale Engineering Systems

原文摘要:Julie Qiu explains how AI serves as a "thinking partner" for engineering leaders. She discusses five distinct roles - Archaeologist, Experimenter, Critic, Author, and Reviewer - to 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

05 月 14 日 2026-05-14 快讯

InfoQ AI ML Data Engineering:Presentation: Accelerating LLM-Driven 开发者 Productivity at Zoox

原文摘要:Amit Navindgi discusses the systematic shift at Zoox from fragmented documentation to an AI-driven ecosystem. He explains how they built "Cortex," a secure platform integrating RAG 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:Anthropic Traces Six Weeks of Claude Code Quality Complaints to Three Overlapping Product Ch…

原文摘要:Anthropic published a postmortem tracing six weeks of Claude Code quality complaints to three overlapping product-layer changes: a reasoning effort downgrade, a caching bug that pr 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

05 月 13 日 2026-05-13 快讯

InfoQ AI ML Data Engineering:Anthropic Launches Claude Platform on AWS

原文摘要:Anthropic has announced the general availability of Claude Platform on AWS, a new deployment option that gives AWS customers direct access to Anthropic’s native Claude platform usi 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:Presentation: What I Learned Building Multi-Agent Systems From Scratch

原文摘要:Paulo Arruda discusses Shopify’s evolution in AI adoption, moving from simple chat tools to a sophisticated swarm of specialized agents. He explains the transition from massive "al 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:AWS WorkSpaces Now Lets AI Agents Operate Legacy Desktop Applications Without APIs

原文摘要:AWS announced that Amazon WorkSpaces can now serve as managed virtual desktops for AI agents in public preview. Agents authenticate through IAM and operate legacy applications via 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

05 月 12 日 2026-05-12 快讯

InfoQ AI ML Data Engineering:Article: Time-Series Storage: Design Choices That Shape Cost and Performance

原文摘要:Every time-series database makes a set of storage design decisions: how to lay out rows, when to compress, what to partition on. These decisions determine cost and query performanc 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

05 月 11 日 2026-05-11 快讯

InfoQ AI ML Data Engineering:Coder Agents Enable Running AI Coding 工作流 on Self-Hosted Infrastructure

原文摘要:Coder Agents is a model-agnostic platform designed to let organizations run AI coding agents on their own infrastructure, rather than relying on cloud-based services. This allows t 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:Article: Local-First AI Inference: A Cloud Architecture Pattern for Cost-Effective Document …

原文摘要:The Local-First AI Inference pattern routes 70–80% of documents to deterministic local extraction at zero API cost, reserving Azure OpenAI calls for edge cases and flagging low-con 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:Netflix Introduces ‘Model Lifecycle Graph’ to Scale Enterprise Machine Learning

原文摘要:Netflix has developed a graph-based architecture for managing machine learning systems, called the Model Lifecycle Graph. This system maps interconnections between datasets, models 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

05 月 10 日 2026-05-10 快讯

InfoQ AI ML Data Engineering:MySQL 9.7: First Major LTS Since 8.4 Brings Enterprise Features to Community Edition

原文摘要:Oracle has announced the general availability of MySQL 9.7.0, marking the start of a new 9.7 LTS release series and the first major one since MySQL 8.4. The release arrives amid co 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

05 月 09 日 2026-05-09 快讯

InfoQ AI ML Data Engineering:Cloudflare Ships Dynamic 工作流, Bringing Durable Execution to Per-Tenant and Per-Agent C…

原文摘要:Cloudflare released Dynamic 工作流, an MIT-licensed library that extends its durable execution engine so 工作流 code can differ per tenant, agent, or request at runtime. Built 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

05 月 08 日 2026-05-08 快讯

InfoQ AI ML Data Engineering:Cloudflare Launches “Artifacts” Beta, Introducing Git-Like Versioning for AI Agents

原文摘要:Cloudflare has announced the beta release of Artifacts, a new system designed to bring Git-style version control to AI agents, enabling 开发者 to track, manage, and evolve agen 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:Presentation: Leadership in AI-Assisted Engineering

原文摘要:Justin Reock discusses the reality of AI’s impact on engineering, moving past anecdotes to hard data from DORA and DX research. He explains the "GenAI Divide" - where 95% of pilot 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:How GitHub Is Securing Agentic 工作流 in Modern CI CD Systems

原文摘要:GitHub detailed a defense-in-depth security architecture for agentic 工作流 in CI/CD pipelines, focusing on isolation, constrained execution, and auditability. The design aims t 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

05 月 07 日 2026-05-07 快讯

InfoQ AI ML Data Engineering:Google Announces GKE Agent Sandbox and Hypercluster at Next '26, Positioning Kubernetes as A…

原文摘要:Google announced GKE Agent Sandbox and hypercluster at Cloud Next '26. Agent Sandbox uses gVisor kernel isolation for secure agent code execution at 300 sandboxes per second, built 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:Presentation: Engineering at AI Speed: Lessons from the First Agentically Accelerated Softwa…

原文摘要:Adam Wolff discusses the evolution of Claude Code, explaining how AI shifts the SDLC bottleneck from implementation to architectural decision-making. He shares three "war stories" 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:OpenAI Introduces Websocket-Based Execution Mode to Reduce Latency in Agentic 工作流

原文摘要:OpenAI introduces a WebSocket-based execution mode for its Responses API to improve agentic 工作流 performance in coding agents and real-time AI systems. The update reduces laten 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。