Celebrating 45 Years of Kermit with the First New C-Kermit Release in 15 Years
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N-able is warning customers that hackers are exploiting an authentication bypass vulnerability (CVE-2026-18577) affecting both hosted and on-premises N-central servers. [...]
For too long, enterprises with legacy mainframe estates have been faced with a high-stakes dilemma: continue maintaining their mainframes, essentially kicking the modernization can down the road (they know they will need to deal with it eventually), or perform a dangerous "big bang" migration with many unknowns and risks. At Google Cloud, we propose an alternative: a modernization strategy that leverages the power of AI, agility of the cloud and allows for iterative and continuous modernization
If you have spent any time inside a mid-to-large organization that has embraced AI-assisted development, you've probably seen the pattern already. Teams move fast. New apps get spun up in days. Business units that used to wait months for IT now have working tools in a week. On the surface, it looks like a win. But look a little deeper, and a different picture starts to emerge. I've seen this happen firsthand: within twelve months of an organization adopting AI-assisted development, the internal
Vercel WAF for Blob is now generally available and supported for production use on all plans. If you protected a store , nothing has changed: your rules and setup carry over exactly as they are.during the beta protects a Blob store with , the same kind you use to guard your deployments. Rules that match on properties like IP address, country, and path can deny, challenge, or rate limit requests to your stored objects. This requires no changes to your code, your blob URLs, or how you use .Vercel
Next.js 16.3 introduces Instant Navigations, a suite of tools for single-page-app responsiveness, plus a faster dev server, faster builds, and improved tooling for AI agents.
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