A massive surge in attacks on the npm ecosystem over the past year reveals a stark shift in the software supply‑chain threat landscape. What once amounted to sloppy typosquatting attempts has evolved into coordinated, credential-driven intrusions targeting maintainers, CI pipelines, and the trusted automation that underpins modern development. For security leaders, these aren’t niche developer

The way software is developed has undergone multiple sea changes over the past few decades. From assembly language to cloud-native development, from monolithic architecture to microservices, from manual testing to CI/CD automation, we’ve seen the emergence of numerous software architectures, technologies, and tools to meet the ever-changing demands of enterprises and their developers. Most recently,

Software engineering didn’t adopt AI agents faster because engineers are more adventurous, or the use case was better. They adopted them more quickly because they already had Git. Long before AI arrived, software development had normalized version control, branching, structured approvals, reproducibility, and diff-based accountability. These weren’t conveniences. They were the infrastructure that made collaboration

Despite many worthy contenders, React remains the most popular front-end framework, and a key player in the JavaScript development landscape. React is the quintessential reactive engine, continually innovating alongside the rest of the industry. A flagship open source project at Facebook, React is now part of Meta Open Source. For developers new to JavaScript and

Product teams regularly approach platform organizations with requests that make complete business sense. A team launching in new markets needs regional payment processor integration. Another team piloting a new discounting strategy needs a new incentive construct. A third team building an enterprise offering needs custom invoicing capability. These requests are well-scoped and clearly valuable. Yet

Apple on Tuesday confirmed that it’s working with Google Gemini to build AI Foundation Models used across its platforms. As the joint statement explained it: “Apple and Google have entered into a multi-year collaboration under which the next generation of Apple Foundation Models will be based on Google’s Gemini models and cloud technology. These models will help power

Chinese company Zhipu AI has trained image generation model entirely on Huawei processors, demonstrating that Chinese firms can build competitive AI systems without access to advanced Western chips. The model, released on Tuesday, marks the first time a state-of-the-art multimodal model completed its full training cycle on Chinese-made chips, Zhipu said in a statement. The

In what appears to be a case of diplomatic mind games in action, one day after the US government issued a regulation clearing the way for Nvidia to sell its H200 artificial intelligence processors to Chinese companies on a case-by-case basis, a published report has revealed Chinese custom officers have been told not to let

Research from Cleo AI indicates that young adults are turning to artificial intelligence for financial advice to help them manage their money and develop more sustainable financial habits. The study surveyed 5,000 UK adults aged 28 to 40 and found that the majority are saving significantly less than they would like. In this context, interest

Drug development is producing more data than ever, and large pharmaceutical companies like AstraZeneca are turning to AI to make sense of it. The challenge is no longer whether AI can help, but how tightly it needs to be built into research and clinical work to improve decisions around trials and treatment. That question helps