InfoWorld

A new form of vendor lock-in is here. And it’s not proprietary languages or rigid enterprise software suites — it’s something more fundamental. It’s the very thing that writes the code. JetBrains Research found that 74% of developers worldwide use AI tools. Claude Code , available only since May 2025, is now the most popular AI coding tool, followed by Gemini Code Assist and GitHub Copilot , acco…

For the past few years, the most visible corner of the AI market has been easy to caricature: OpenAI gets the consumer attention, Anthropic gets the developer love, Google gets the benefit of the doubt with increasingly capable models and a complementary product suite, and everyone else gets to explain why they’re not dead yet. That’s unfair, of course, but not completely wrong. In AI, attention …

AI coding agents can tend to isolate research, running experiments and generating ideas that are then forgotten when context windows reset. This can waste tokens, as models then repeat the same mistakes and hit the same dead ends. But new research argues that it’s not the model itself, but the overarching ‘tree,’ that needs tweaking. To that end, data scientists from the Gaoling School of Artific…

Enterprises implementing agentic AI face a challenge: Which tools should they allow their agents to use, where can they be found, and how can they be used safely? A new protocol, Agentic Resource Discovery , or ARD, aims to let agents answer those questions for themselves. Behind it are Google, Microsoft, Cisco, Nvidia, Salesforce and others. ARD aims to standardize the way that tools and service…

An IT executive changing jobs usually attracts little attention outside a narrow group of people, but Noam Shazeer’s move from Google to OpenAI is as momentous as any high-value soccer transfer. He announced the news in a post on X : “I’m excited to share that I’ll be joining OpenAI and look forward to working with the exceptional team there.” Shazeer initially achieved fame as one of the eight c…

It is tempting to date cloud computing from the launch of Amazon S3 in 2006 and the rise of infrastructure as a service (IaaS) that followed. That was certainly the moment the market changed in a visible, irreversible way. But the truth is that cloud began earlier, in the 1990s, when software as a service (SaaS) , application hosting, managed services providers, and various forms of remote subscr…

Google, Microsoft, OpenAI, and others want to help enterprises demonstrate that their AI applications are behaving themselves through the creation of a new foundation. The Appia Foundation will, it explained rather impenetrably, “establish modular specifications that provide a connecting layer to bridge foundational global standards with practical, trusted assessments across the global AI value c…

For many developers, the hard part of building an AI application isn’t the model anymore. It’s keeping the application’s knowledge current. Retrieval-augmented generation (RAG) has become a popular technique for grounding AI applications in enterprise data, but it also introduces a steady stream of operational work, including tasks such as updating embeddings and indexes, synchronizing data sourc…

Meta’s long-awaited Pyrefly linter is out in a 1.0 version, and the forthcoming Python 3.15 has a super-efficient sampling profiler. Plus we have a comprehensive rundown of Python’s indispensable virtual environments — and a warning about a novel breed of malware that exploits Python’s package ecosystem. Top picks for Python readers on InfoWorld How to use virtual environments in Python Isolate a…

AI coding agents are becoming critical to software development, but the configuration files that guide them, such as Agents.md or Claude.md, can be “smelly.” That means they can contain structural flaws, redundancies, or counterproductive workflows that bloat context, waste tokens, and make coding agents less reliable. Researchers from the Department of Computer Science at Brazil’s Federal Univer…

Understanding a reactivity model in the abstract is useful, but it is ultimately incomplete without seeing how it shapes real application code. Concepts such as state, derivation, and explicit dependencies only become meaningful when they influence how forms are built, validated, and maintained in practice. In two previous articles, “ Angular Signal Forms: From event pipelines to signal-driven st…

Databricks is pitching a fix for what it sees as the growing operations mess in enterprise AI. With the launch of Genie ZeroOps, unveiled at its Data + AI Summit, the company is targeting a problem many data teams know too well: it’s no longer building pipelines and models that hurts, it’s keeping them running. As data estates sprawl and AI workloads multiply, engineering time is increasingly eat…

France’s OVHcloud is moving beyond cloud infrastructure into frontier AI model development, a shift that could test whether Europe can produce another serious alternative to US and Chinese AI systems. The company, one of Europe’s leading homegrown cloud providers, plans to train a family of models from scratch and aims to open-source them once they meet its performance targets, CEO Octave Klaba t…

In hardware, when you ship something broken, the consequences are severe and often irreversible. That’s the world I worked in for years, in verification roles at Mellanox and later at Alibaba. The stakes forced the industry to build a rigorous verification culture. You proved designs worked before they left the building. In software, verification disciplines look like CI/CD pipelines, static anal…

The problem with software development today may no longer be writing code. With AI coding assistants generating code faster than ever, the bigger challenge is reviewing, testing, and safely releasing it. AWS is betting that software teams need help with that part of the process, adding release management features to its DevOps Agent. The new features, currently in preview, automatically assess co…