
Cloudflare has open-sourced its Cloudflare OS platform, which it first developed as an internal workspace for employees to build apps using AI agents—including people who are not software developers or engineers. The company also touts a security framework designed to reduce the risk of employee vibe-coding sessions creating serious security flaws or leading to data breaches. The tech company spent several months building and internally testing Cloudflare OS, which allows employees to describe w
A tech company has released an open-source platform that lets non-programmers build applications by describing what they want in plain language, with an AI agent handling the actual coding. The platform matters because it includes security safeguards, such as sandboxing and permission controls, designed to prevent the AI from creating serious security flaws or causing data breaches when non-technical employees use it. The company spent months testing the platform internally with thousands of employees before making it publicly available, and it learned important lessons about tailoring AI coding tools for different types of work rather than giving everyone the same engineering-focused interface. The platform is now open source, though running its backend requires a paid subscription plan.

Long-running agents accumulate state that no transcript captures. A coding agent at step 10 holds edited files, a running dev server, installed packages, and a warm prompt cache. When it misreads a traceback and rewrites a file that was already correct, neither available recovery path is cheap: patching forward grows the context and the token bill, and restarting from step one re-pays every model and tool call while reproducing nothing exactly, because runs are non-deterministic. Jumping back t

New AI toolbars and prompts are showing up in Google Docs and Gmail. If you don’t want Gemini’s help in writing documents and emails, here’s how to turn that stuff off.

In October 2025, a storm brewed over the Caribbean Sea. Weather models differed on its trajectory. Would it remain weak and end up in Haiti, or would it intensify and head to Jamaica? Artificial intelligence model WeatherNext, developed by Google’s DeepMind and Google Research, went with the latter. Five days before landfall, it predicted with 80 percent confidence that the storm system would hit Jamaica as a Category 5 hurricane. Hurricane Melissa was catastrophic, causing flooding and landslid
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