In the din of excitement about the artificial intelligence revolution, a more subtle but intriguing debate is now unfolding among journalists and media executives worldwide: If AI systems are being trained on our journalism, shouldn’t we be compensated for that work? You might call it the “Does AI owe for news?” debate. The proposed solution

JetBrains has introduced two new tools for AI-assisted software development: Air, an environment for delegating coding tasks to multiple AI agents and running them concurrently, and Junie CLI, an LLM-agnostic coding agent. Both were announced on March 9. Air, in public preview, can be downloaded from air.dev, while Junie CLI, in beta, is accessible at

TypeScript 6.0, a planned update to Microsoft’s strongly typed JavaScript variant, has reached the release candidate (RC) stage, with the RC adding type checking for function expressions in generic calls. The last TypeScript release based on the JavaScript codebase, before TypeScript 7.0 introduces a compiler and language service based on the Go language for better

Anthropic has introduced Code Review to Claude Code, a new feature that performs deep, multi-agent code reviews that catch bugs humans often miss, the company said. Introduced March 9, Code Review is available in a research preview stage for Claude for Teams and Claude for Enterprises customers. Dispatching agents on a pull request, Code Review

Amazon reportedly convened an engineering meeting Tuesday to discuss “a spate of outages” that are tied to the use of AI tools, according to a report in the Financial Times.  “The online retail giant said there had been a ‘trend of incidents’ in recent months, characterized by a ‘high blast radius’ and ‘gen-AI assisted changes’”

The world of software development is changing very rapidly, and agentic coding is the catalyst. And by “very rapidly,” I mean “so fast that things are basically spinning almost out of control.” What a fantastic time to be alive. With Claude Code, I have become (if I do say so myself) a 10x developer. Sometimes it feels

I’ve asked GPT-5.2, GPT-5.3, Opus 4.6, Sonnet 4.6, and other large language models (LLMs) to help me construct a nuclear weapon. All of them said no. Let’s be clear, my lack of knowledge is not the real barrier to constructing one. The knowledge is public, free, and well-documented. You can read The Manhattan Project’s declassified

Ever since Electron’s first release, developers have both rejoiced and lamented. Electron offers a convenient way to package a web-UI application across platforms, with almost exactly the same behavior, UI/UX, and underlying codebase everywhere. But it also imposes a large memory and disk-space footprint, bundling a full copy of a web browser and JavaScript runtime

Mastercard has completed its first live, authenticated agent-based payment transaction in Singapore, a milestone that advances autonomous AI commerce from proof of concept to everyday use. Announced on March 4, 2026, the transaction was carried out in partnership with DBS and UOB, two of Southeast Asia’s largest banks. In the demonstration, an AI agent booked

In finance, achieving operational automation by integrating agentic AI requires a data-centric foundation to drive real value. Financial infrastructure provider SEI has engaged IBM to modernise its internal operations via AI and automation. The joint initiative focuses on process redesign and targeted system updates to deliver consistent client experiences, building a modern and data-enabled foundation