Vercel Introduces Vercel Drop for Browser-Based Deployments
Vercel Changelog2 days agoNew ToolVercel introduced Vercel Drop, a drag-and-drop deployment flow for publishing a file or folder directly from the browser. Users can upload a project, choose a team and project name, and publish to production with a live URL in seconds. The feature supports static sites and framework projects, including exports from tools such as Bolt.new, Claude Design, and Google Stitch.
Vercel Plugin Is Now Available in Grok Build
Vercel Changelog3 days agoReleaseVercel announced that its plugin is now available in Grok Build. The changelog title suggests an integration between Vercel and xAI’s Grok Build environment, likely aimed at making it easier to use Vercel-related functionality from within that workflow. No article body was provided, so details such as supported commands, setup steps, pricing, limitations, or availability scope are not confirmed.
Build and deploy Shopify storefronts on Vercel
Vercel Changelog10 days agoTutorialVercel’s changelog item points to a workflow for building and deploying Shopify storefronts on Vercel. Because the original article body was not provided, only the title-level facts can be confirmed. The likely relevance is for commerce teams and developers evaluating Shopify as the commerce backend with Vercel as the frontend deployment platform, but no specific new features or AI capabilities can be inferred.
Elastic Build Machines now protect against out-of-memory builds
Vercel Changelog13 days agoReleaseVercel says Elastic Build Machines now protect against out-of-memory failures during builds. Based on the available title, the update focuses on improving build reliability when memory is exhausted. The implementation details, eligible plans, activation requirements, and behavior after an OOM event cannot be confirmed because the full changelog text was not provided.
At TechCrunch Disrupt 2026: Databricks co-founder on what kills enterprise AI deals
TechCrunch AI17 days agoBusinessTechCrunch frames enterprise AI as entering a new phase, where companies are no longer mainly asking whether AI is exciting. The harder question is whether it can be deployed safely at scale. Centered on a TechCrunch Disrupt 2026 discussion with a Databricks co-founder, the article points to safety and broad rollout readiness as key enterprise AI deal concerns.