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Vercel
Latest AI signals connected to Vercel, rendered from the VQV Terminal API.
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All companiesVercel Public Beta Supports Deploying Cursor Origin Repositories
Vercel now allows Pro customers to connect Cursor Origin repositories for automatic Preview and Production deployments triggered by pull requests and merges. This integration streamlines deployment workflows directly from Origin repositories.
Why it matters: This feature simplifies the deployment process for developers using Cursor Origin by automating preview and production deployments through Vercel. It enhances continuous integration and delivery efficiency for development teams.
GPT-5.6 Sol is 50% off on AI Gateway for the next month
GPT-5.6 Sol , the flagship of OpenAI's GPT-5.6 series, is 50% off on AI Gateway through September 18. The discount applies on the OpenAI provider to all token types, tiers, regions, and modes, a...
Inside the Vercel intern experience
The best way to learn is by shipping product to users in production, and that's why we don’t treat our interns as temporary guests. Every intern at Vercel is expected to operate like a core part of our engineering team from day one. This p...
Reader impact: Teams using AI at work may want to compare this against current productivity and review workflows.
AI SDK harness layer now supports ACP-compatible harnesses via @ai-sdk/harness-acp
The AI SDK harness layer from Vercel now supports any Agent Client Protocol (ACP)-compatible harness using the new @ai-sdk/harness-acp package. This replaces previous adapters that were tied to specific runtimes like Claude Code or Codex.
Why it matters: This update enables greater flexibility and interoperability for developers integrating AI agents by standardizing harness compatibility across different runtimes. It simplifies the development process by allowing a single adapter to work with multiple ACP-compatible agents.
Reader impact: Teams using AI at work may want to compare this against current productivity and review workflows.
Grok Build now supported in Vercel's AI SDK harness layer
Vercel's AI SDK harness layer, which unifies coding-agent runtimes under one interface, now supports Grok Build. This allows developers to switch between runtimes without modifying application code.
Why it matters: Adding Grok Build to the AI SDK harness layer enhances flexibility for developers by enabling seamless runtime switching. It simplifies integration and experimentation with different AI coding tools within the same development environment.
Reader impact: Teams using AI at work may want to compare this against current productivity and review workflows.
Gemini 3.7 Flash now available on AI Gateway for 50% off
Gemini 3.7 Flash from Google is now available on AI Gateway for 50% off till December 31st, 2026. Gemini 3.7 Flash improves on prior Flash...
Reader impact: Teams using AI at work may want to compare this against current productivity and review workflows.
DeepSeek V4 Pro updates weights on AI Gateway with seamless integration
DeepSeek V4 Pro now runs updated weights on AI Gateway, automatically applied to existing requests without changing model ID or code. To access the updated version, users can specify model deepseek/deepseek-v4-pro-0813 in the AI SDK.
Why it matters: This update allows developers to benefit from improved model performance without modifying their existing implementations. It simplifies adoption of the latest enhancements by routing requests through AI Gateway transparently.
Reader impact: Teams using AI at work may want to compare this against current productivity and review workflows.
Building a software factory for AI SDK
The AI SDK is one of the most popular open-source AI projects in the world. It serves over 20 million npm downloads a week and the repo has over 26,000 stars. Maintaining the codebase means tracking four moving tar...
Vercel AI Gateway Enables One-Command Setup for Coding Agents
Vercel's AI Gateway centralizes coding agent management by routing multiple accounts, API keys, observability, and billing through a single interface. It supports over 200 models and allows setup with one command.
Why it matters: This simplifies the complexity of managing multiple coding agents and enhances control and observability for developers. It streamlines workflows by consolidating resources and reducing setup overhead.
Reader impact: Teams using AI at work may want to compare this against current productivity and review workflows.
Vercel Connect adds observability for token lifecycle and runtime events
Vercel Connect now provides teams with detailed observability into token lifecycle events, including creation, usage, and status. The new Observability tab on connector detail pages shows runtime events such as token requests, authorizations, and revocations.
Why it matters: This enhancement improves security and debugging by giving developers clear visibility into how tokens are used across apps and projects. It helps teams monitor and manage authentication tokens more effectively.
Reader impact: Teams using AI at work may want to compare this against current productivity and review workflows.
DeepSeek overtakes Google on volume, cost per token falls 13.6%
AI Gateway Production Index — August 2026 Every month, AI Gateway routes tens of trillions of tokens between production applications and AI labs. That traffic gives us a view of what AI usage actuall...