InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
-
Uber Moves beyond CPU Cores with Performance-Aware Scheduling for Stateful Workloads
Uber has introduced Normalized Compute Units (NCUs) to make CPU allocation more consistent across its highly heterogeneous server fleet.
-
Developers Reporting Double-Digit Weekly Time Savings from AI Fell from 68% to 26%
Atlassian’s State of Developer Experience 2026 finds the share of developers saving ten or more hours a week with AI dropped from 68% to 26% year over year, while only 28% report noticeably less friction than before AI. Engineering leaders report spending more time managing and correcting AI output than developers do.
-
AGNTCon + MCPCon 2026: Agentic AI Foundation Adds Four Projects as MCP Turns to Security
At AGNTCon + MCPCon North America 2026, the Agentic AI Foundation added OpenSandbox, Open Responses, Agent Skills, and OpenEnv, reaching ten projects in its first year. Keynotes from Anthropic, OpenAI, Google, and UC Berkeley focused on MCP in production, security, and agents with their own identities.
-
DigitalOcean Launches Learning and Data Services to Enable Self-Improving AI Agents
DigitalOcean has announced the public preview of Learning Services and Agent Data Services, enabling developers to build, evaluate, and continuously improve AI agents within a unified, AI-native, cloud platform.
-
Production AI and Engineering Team Design: InfoQ’s November Certification Cohorts
A preview of three November InfoQ online certification cohorts covering production AI systems, retrieval and agent design, engineering team flow, AI roles, and measurement, facilitated by Adi Polak, Lan Chu, and Olimpiu Pop.
-
Cloudflare Adds Auto Router to AI Gateway, Picking a Model per Request by Task Complexity
Cloudflare has released Auto Router in public beta through AI Gateway, picking a model per request from a classifier that scores complexity, ambiguity, stakes and context dependence. Cloudflare’s own benchmark puts it ten points below Claude Opus 5.5 on success rate at a third of the cost, and practitioners have questioned how stakes survive a long agent session.
-
PyTorch Conference 2026: Google and Meta Open-Source TorchTPU for Native PyTorch on TPUs
Google and Meta open-sourced TorchTPU, a native PyTorch backend for Google's TPUs, at PyTorch Conference North America 2026, and Meta said it plans to move larger LLM workloads onto TPUs with it. AWS released TorchNeuron for Trainium the same week, while developers questioned TPU availability and where vendor lock-in now sits.
-
Google ML Drift Accelerates On-Device AI Inference across Diverse GPUs
Google has released ML Drift, an open-source, cross-platform GPU compute engine designed for on-device AI and machine learning inference. Licensed under Apache 2.0, it abstracts the complexities of different GPU hardware and low-level APIs, supporting OpenGL ES, OpenCL, Metal, and WebGPU.
-
Google Optimizes Agent Development Kit's 200K-Line Python Codebase Overnight with Gemini 4 Argon
Google explained how an 11-hour unattended run of Gemini 4 Argon produced two accepted optimizations for Google Agent Development Kit's codebase, reducing in-memory session-preparation overhead by about 40% in long sessions and cold package import time by 21%.
-
Google’s Data Agent Kit Hits GA, Splitting Agent Guardrails Between Skills and IAM
Google has made Data Agent Kit generally available, a free set of MCP tools and 37 open-source skills that connect coding agents to more than fifteen Google Data Cloud services. Two kinds of guardrail ship with it, and practitioners need to tell them apart: one is a skill asking the agent to stop, the other an IAM deny policy that refuses the call.
-
Anthropic Adds Opt-In Security Scanning for Critical Open-Source Projects
AI company Anthropic has launched OSS Scanner, a free, opt-in service to find vulnerabilities in open-source projects. Enrolled maintainers receive periodic security reports generated by the company's strongest models, including Claude Mythos. The reports are sent without human review, and project maintainers can choose to validate their findings and decide which proposed fixes to accept.
-
Study Finds AI-generated Code Fails to Boost Productivity Due to Downstream Bottlenecks
A recent Harvard study of 718 firms, using the Jellyfish analytics platform, finds that although AI coding assistants and agents increase code volume, this does not translate into a corresponding increase in completed work, partly because AI-generated code increases the workload in later stages of development, particularly code review.
-
Vercel Labs Open-Sources fx: a Zig Coding Agent Designed to Be Embedded
Vercel Labs has released fx, an experimental open-source coding agent written in Zig. It runs as a CLI, a script component, or an embedded library, including a WebAssembly build. Early feedback questioned its model-agnostic claim and a name conflict with an existing tool. Vercel says the project is pre-1.0 and changing quickly.
-
Developer behind the AI-Built Adobe Clones Says They Are “Not Anywhere Close to Ready"
A developer used Claude Opus 5.5 to build open-source replacements for seven Adobe applications, promoted them across Reddit with a projection of roughly 100% parity within a month, then told Hacker News the project was not anywhere close to ready. Its own roadmap puts it at 45% ready for real work and 2,300 to 4,100 agent-hours from full parity.
-
Google SynthID Detector Simplifies Watermark Detection and Expands Support to Other AI Providers
Google DeepMind announced the global availability of SynthID Detector, a tool designed to help identify AI-generated content, including media created using AI tools from SynthID partners such as OpenAI, NVIDIA, and Kakao, with Apple support expected soon.