📰 InfoQ AI/ML

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 al

Meryem Arik discusses why modern engineering teams face "inference chaos" and how AI model gateways provide a critical control layer. She explains the balance b

Agoda Multimodal Content System https://example.com/agoda-multimodal-content-system Agoda unifies hotel images and guest reviews using a shared topic taxonomy,

Merrin Kurian shares the architectural blueprints and organizational processes behind Intuit’s AI transformation. She explains the "fixed, flexible, free" frame

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 S

In this article, author Vignesh Durai discusses how agentic and multimodal AI systems can be engineered using Apache Camel and LangChain4j technologies. The key

Sudeep Das and Pradeep Muthukrishnan explain the shift from static merchandising to dynamic, moment-aware personalization at DoorDash. They share how LLMs gener

A new blog from the Cloud Native Computing Foundation highlights a critical gap in how organizations are deploying large language models (LLMs) on Kubernetes: w

Google has announced the release of Gemma 4, a series of open-weight AI models, including variants with 2B, 4B, 26B, and 31B parameters, under the Apache 2.0 li

In this episode, Thomas Betts and Adi Polak talk about the need for context engineering when interacting with LLMs and designing agentic systems. Prompt enginee

A 600-run benchmark by Ruby committer Yusuke Endoh tested Claude Code across 13 languages, implementing a simplified Git. Ruby, Python, and JavaScript were the

Anthropic introduces a three-agent harness separating planning, generation, and evaluation to improve long-running autonomous AI workflows for frontend and full

TigerFS is a new experimental filesystem that mounts a database as a directory and stores files directly in PostgreSQL. The open source project exposes database

This article introduces Context-Augmented Generation (CAG) as an architectural refinement of RAG for enterprise systems. It shows how a Spring Boot-based contex

Pinterest engineering teams have deployed a production-ready Model Context Protocol (MCP) ecosystem that allows AI agents to automate complex engineering tasks

OpenAI announced they are extending the Responses API to make it easier for developer to build agentic workflows, adding support for a shell tool, a built-in ag

Revenium has announced the general availability of its Tool Registry, a new capability designed to give enterprises a complete, end-to-end view of what their AI

At QCon London 2026, Clara Higuera, responsible AI program lead at BBVA, presented how many of the risks associated with AI systems are fundamentally engineerin

At QCon London 2026, James Hall discussed running AI workloads directly in browsers, highlighting local processing benefits such as enhanced privacy, reduced la

In her QCon London keynote, Birgitta Böckeler, AI-Coding lead at Thoughtworks, reflected on the changes in the AI coding space over the past year. She emphasise

Stripe engineers describe Minions, autonomous coding agents generating over 1,300 pull requests per week. Tasks can originate from Slack, bug reports, or featur

The 2025 State of JavaScript survey reveals a maturing ecosystem with TypeScript's dominance solidified—40% of developers use it exclusively. Vite surges in bui

At QCon London 2026, Jeff Smith discussed the growing mismatch between AI coding models and real-world software development. While AI tools are enabling develop

At QCon London 2026, Spotify's Jo Kelly-Fenton and Aleksandar Mitic discussed Honk, an AI-powered coding agent that enables code migrations across Spotify's cod