AI costs how much? GitHub Copilot users react to usage-based pricing
Ars Technica AI21h agoBusinessGitHub Copilot users are reacting to a new usage-based pricing system for AI features. Some report burning through their entire monthly AI credit allocation in a single day. The response highlights concerns about predictable costs and whether monthly allowances can support intensive AI-assisted development workflows.
GitHub Copilot’s new token-based billing spurs dev backlash★ 72
TechCrunch AI3d agoBusinessTechCrunch reports that GitHub Copilot will move to token-based billing on June 1, replacing a more predictable flat or request-based model. Some developers say their expected monthly costs could jump dramatically, citing examples from about $29 to nearly $750 or $50 to around $3,000. Others argue the worst cases may reflect heavy vibe-coding usage, while critics say Microsoft encouraged that behavior before changing the economics.
Cognition’s Scott Wu says AI coding agents shouldn’t replace humans
TechCrunch AI4d agoCommentaryCognition makes Devin, described by TechCrunch as the first and arguably most successful AI coding agent. Scott Wu says the product is not meant to supplant human programmers. The key takeaway is a positioning statement: AI coding agents are being framed as tools for software work, not as a direct removal of humans from development.
Run Docker containers inside Vercel Sandbox
Vercel Changelog4d agoReleaseVercel announced the ability to run Docker containers inside Vercel Sandbox. Because the original article text was not provided, confirmed details are limited to the title, source, URL, and publish time. The update is likely relevant to developers building isolated cloud workflows for containerized tests, AI agent execution, and sandboxed automation, but implementation limits and pricing require the official changelog.
How Conductor moved parallel coding agents from the laptop to the cloud with Vercel Sandbox
Vercel Changelog6d agoBusinessBased on the title, the article describes Conductor shifting parallel coding-agent execution from developers’ laptops to Vercel Sandbox in the cloud. The likely focus is cloud isolation, parallel agent workflows, and reducing dependence on local machine resources. The full article text was not provided, so implementation details, metrics, model choices, and concrete results cannot be confirmed.
Experimental native binaries for Vercel CLI
Vercel Changelog6d agoReleaseVercel’s changelog lists an update titled “Experimental native binaries for Vercel CLI.” The available source text does not provide implementation details, supported platforms, install commands, or performance claims. The main takeaway is that Vercel is experimenting with a native binary distribution path for its CLI, which could matter to developers who rely on Vercel CLI in local workflows or CI automation.
Uber president says AI spending is getting ‘harder to justify’
The Verge AI7d agoBusinessUber reportedly exhausted its annual AI budget just four months into 2026. President and COO Andrew Macdonald said the company is not seeing a clear link between increased Claude Code token consumption and more meaningful output. The story highlights a broader enterprise shift from AI adoption enthusiasm toward stricter scrutiny of cost, productivity, and ROI.
Vercel Domains now supports price sorting and availability filtering
Vercel Changelog7d agoReleaseVercel announced that Vercel Domains now supports sorting results by price and filtering by availability. The change appears focused on improving the domain search and purchase experience, helping users narrow candidate domains faster. No original body text was provided, so details such as sort direction, exact filter options, TLD coverage, or API availability should not be inferred.
Firecrawl joins the Vercel Marketplace
Vercel Changelog7d agoNew ToolVercel announced that Firecrawl has joined the Vercel Marketplace. Based only on the provided title, this appears to be a marketplace listing or ecosystem availability update. The title does not specify features, pricing, setup flow, usage limits, or integration depth, so teams should check the official listing before making adoption decisions.