Citizen developers now have their own Wingman

Front-end development has never been more capable. Modern frameworks offer fast rendering pipelines, component composition, powerful tooling, and a growing ecosystem of libraries that promise to make building sophisticated applications easier than ever. Yet many teams experience exactly the opposite — increasing difficulty. Applications grow harder to reason about. Features interact in unexpected ways. Simple changes ripple through unrelated parts of the system. Debugging becomes an exercise in tracing invisible dependencies across the application. The tools improved, but the complexity remained. Front-end complexity never ends For many years, front-end complexity was blamed on frameworks. Each generation of tooling promised to fix the limitations of the previous one. The transition from server-rendered pages to client-side frameworks introduced a wave of architectural experimentation. Then came virtual DOM engines, reactive libraries, and increasingly sophisticated component systems.

Ahead of the AI & Big Data Expo at the San Jose McEnery Convention Center, May 18-19, we spoke to Jerome Gabryszewski, the company’s AI & Data Science Business Development Manager about AI, processing data for AI ingestion, and local versus cloud compute. The technology media is fond of quoting that data is ‘the new […] The post HP and the art of AI and data for the enterprise appeared first on AI News.

Google is testing Remy, a new AI personal agent for Gemini, according to Business Insider. The tool is designed to take actions for users in work and daily tasks. Remy is being tested in a staff-only version of the Gemini app. The report said it reviewed an internal document and spoke with two people familiar […] The post Google tests Remy AI agent for Gemini as focus turns to user control appeared first on AI News.

Governance around Physical AI is becoming harder as autonomous AI systems move into robots, sensors, and industrial equipment. The issue is not only whether AI agents can complete tasks. It is how their actions are tested, monitored, and stopped when they interact with real-world systems. Industrial robotics already provides a large base for that discussion. […] The post Physical AI raises governance questions for autonomous systems appeared first on AI News.

According to SAP, enterprise AI governance secures profit margins by replacing statistical guesses with deterministic control. Ask a consumer-grade model to count the words in a document, and it will often miss the mark by ten percent. Manos Raptopoulos, Global President of Customer Success Europe, APAC, Middle East & Africa at SAP, observes that the […] The post SAP: How enterprise AI governance secures profit margins appeared first on AI News.

APIs and MCPs are often mentioned in the same breath as ways that systems can exchange information, but they are designed differently and have different purposes. This article hopes to explain the differences and how software developers and users should approach interaction with each. An API is mainly found in software applications, while an MCP […] The post A guide to APIs, MCPs, and MCP Gateways appeared first on AI News.

Every cloud beat. Every capex forecast rose. That is the two-sentence summary of the biggest earnings day of 2026, and it tells you almost everything you need to know about where Big Tech’s AI infrastructure spending actually stands right now. Microsoft, Alphabet, Meta, and Amazon collectively committed somewhere between US$630 billion and US$650 billion in […] The post Big Tech just proved AI infrastructure spending works. Then it raised the bill anyway appeared first on AI News.

When people talk about artificial intelligence, they usually focus on what it produces: Human-like text, stunning images, or eerily accurate recommendations. What rarely gets attention is how AI understands anything in the first place. That understanding begins with encoders. Think of an encoder as a translator that converts messy, real-world information into a structured language […] The post The evolution of encoders: From simple models to multimodal AI appeared first on AI News.