Singapore-based DroneDash Technologies and GEODNET have formed a joint venture to be called GEODASH Aerosystems, to build an agricultural spraying drone for large industrial farms. The companies say the near-production drone technology is designed to remove the need to map a field to be treated before each flight, and the need to rebuild flight plans

A vibe-coding application creation company, Emergent, has released Wingman, an autonomous agent that can address and take control of the applications used to manage daily tasks. The company’s press release states: “The best technology should be accessible to everyone”, and cites the difficulty that users without a technical background have in creating software applications. It

Enterprise cloud environments now have access to an undo feature for AI agents following the deployment of Commvault AI Protect. Autonomous software now roams across infrastructure, potentially deleting files, reading databases, spinning up server clusters, and even rewriting access policies. Commvault identified this governance issue and the data protection vendor has launched AI Protect, a

nEye.ai is a Silicon Valley startup with a specific thesis: that as AI systems grow larger, the real constraint won’t be the chips doing the computing, it will be the connections moving data between them. The company was co-founded by Ming C. Wu, the Nortel Distinguished Professor of Electrical Engineering and Computer Sciences at UC

OpenGradient, a startup building infrastructure for auditable AI model execution, has raised $9.5 million led by a16z crypto. The company, co-founded and led by CEO Matthew Wang, positions itself as a decentralized network where AI models can be hosted, run, and cryptographically verified at scale. Coinbase Ventures, SV Angel, Foresight Ventures, Pragma, SALT, Symbolic Capital,

AI-aided development tools are churning out more lines of code than ever, presenting a challenge for reviewers who must review ever larger pull requests. After toying with the idea of closing the door to AI-aided code submissions, GitHub is now looking to help enterprises manage big code changes in a more incremental way. It says

In 2026, enterprise developers are building and deploying the first generation of powerful, increasingly autonomous AI agents at incredible speed. Now comes the hard part: working out how to secure them. Vendors in the space are facing multiple challenges. To begin with, traditional identity and access management (IAM) tools were never designed to secure anything

I am a completely self-taught software developer. I’ve never taken a computer science course in my life. I was lucky enough to attend a junior high school in the 1970s that taught me BASIC. I loved it, and used to stay after school to write and play simple text-based games.  Now this may be hard to believe, but

With every passing year, local AI models get smaller, more efficient, and more comparable in power with their higher-end, cloud-hosted counterparts. You can run many of the same inference jobs on your own hardware, without needing an internet connection or even a particularly powerful GPU. The hard part has been standing up the infrastructure to

Windows 10 has reached the end of mainstream support, which means most users will no longer receive new features, bug fixes, or security updates. Microsoft encourages businesses and individuals to upgrade to Windows 11. Another option is to purchase extended security updates for Windows 10. Those enrolled in the Windows 10 Extended Security Updates (ESU)