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Vercel Open Source Program: Winter 2026 cohort How Notion Workers run untrusted code at scale with Vercel Sandbox How we run Vercel's CDN in front of Discourse From idea to secure checkout in minutes with Stripe Building Slack agents can be easy Scaling redirects to infinity on Vercel Advancing Python typing Gamma builds design-first agents with Vercel How Avalara turns pipe dreams into patent-pending with v0 Keeping community human while scaling with agents How OpenEvidence built a healthcare AI that physicians actually trust Security boundaries in agentic architectures Skills Night: 69,000+ ways agents are getting smarter Video Generation with AI Gateway We Ralph Wiggumed WebStreams to make them 10x faster How Stably ships AI testing agents in hours, not weeks How we built AEO tracking for coding agents Anyone can build agents, but it takes a platform to run them Introducing Geist Pixel The Vercel AI Accelerator is back with $6m in credits Making agent-friendly pages with content negotiation The Vercel OSS Bug Bounty program is now available Introducing the new v0 Run untrusted code with Vercel Sandbox, now generally available How Stripe built a game-changing app in a single flight with v0 How Sensay went from zero to product in six weeks AGENTS.md outperforms skills in our agent evals Agent skills explained: An FAQ Testing if "bash is all you need" AWS databases are now live on the Vercel Marketplace and v0 Use Perplexity Web Search with Vercel AI Gateway Introducing: React Best Practices Nick Bogaty joins Vercel as Chief Revenue Officer How Mux shipped durable video workflows with their @mux/ai SDK How to build agents with filesystems and bash How we made v0 an effective coding agent Stopping the slow death of internal tools Building AI-Generated Pixel Trading Cards with Vercel AI Gateway We removed 80% of our agent’s tools AI SDK 6 Our $1 million hacker challenge for React2Shell Cline now runs on Vercel AI Gateway How to prompt v0 Build smarter workflows with Notion and v0 Vercel launches partner certification Inside Workflow DevKit: How framework integrations work React2Shell Security Bulletin | Vercel Knowledge Base Billions of requests: Black Friday-Cyber Monday 2025 Investing in the Python ecosystem AWS Databases coming to the Vercel Marketplace How we built the v0 iOS app Workflow Builder: Build your own workflow automation platform Vercel Open Source Program: Fall 2025 cohort Self-driving infrastructure Vercel collaborates with Google for Gemini 3 Pro Preview launch Vercel: The anti-vendor-lock-in cloud How Nous Research used BotID to block automated abuse at scale How AI Gateway runs on Fluid compute What we learned building agents at Vercel Build and deploy data applications on Snowflake with v0 BotID Deep Analysis catches a sophisticated bot network in real-time Vercel achieves TISAX AL2 compliance to serve automotive partners Bun runtime on Vercel Functions David Totten Joins Vercel to Lead Global Field Engineering Vercel Ship AI 2025 recap You can just ship agents AI agents and services on the Vercel Marketplace Built-in durability: Introducing Workflow Development Kit Zero-config backends on Vercel AI Cloud Update regarding Vercel service disruption on October 20, 2025 Agents at work, a partnership with Salesforce and Slack Running Next.js in ChatGPT: How to Build ChatGPT Apps Talha Tariq joins Vercel as CTO of Security Just another (Black) Friday Server rendering benchmarks: Fluid Compute and Cloudflare Workers Towards the AI Cloud: Our Series F Collaborating with Anthropic on Claude Sonnet 4.5 to power intelligent coding agents Preventing the stampede: Request collapsing in the Vercel CDN BotID uncovers hidden SEO poisoning How we made global routing faster with Bloom filters What you need to know about vibe coding Scale to one: How Fluid solves cold starts Addressing security & quality issues with MCP tools - Vercel AI agents at scale: Rox’s Vercel-powered revenue operating system Helly Hansen migrated to Vercel and drove 80% Black Friday growth Agentic Infrastructure Zero Data Retention on AI Gateway Optimizing Vercel Sandbox snapshots How Waldium made a blog platform work for humans and AI alike How FLORA shipped a creative agent on Vercel's AI stack Agent responsibly Making Turborepo 96% faster with agents, sandboxes, and humans Unified reporting for all AI Gateway usage new.website joins forces with v0 SERHANT.'s playbook for rapid AI iteration Two startups at global scale without DevOps Chat SDK brings agents to your users 360 billion tokens, 3 million customers, 6 engineers Meet the 2026 Vercel AI Accelerator Cohort Build knowledge agents without embeddings
Introducing Vercel Agent: Your new Vercel teammate
Dan FeinProductLiz HurderSr. Product Marketing Manager · 2025-10-23 · via Vercel News

We're launching Vercel Agent, an AI teammate for your development workflow. Vercel Agent uses AI, deep platform expertise, your application code, and telemetry data from across Vercel to help you ship faster with higher quality.

Starting today, Vercel Agent is available in Public Beta with two core skills: Code Review and Investigations.

Link to headingWhat is Vercel Agent

Vercel Agent is a multi-purpose agent with skills that grow and expand over time. Every suggestion and investigation from Agent is validated end-to-end, grounded in a deep understanding of your project's code, framework, and infrastructure. Agent delivers tested, actionable improvements rather than speculative output.

Link to headingCode Review: AI-powered pull request reviews

Vercel Agent’s Code Review skill operates directly within your GitHub workflow to elevate both speed and quality. It reviews code with the depth of a teammate who understands your entire stack, running simulated builds inside a Vercel Sandbox to verify recommendations before you see them. You are not getting untested guesses; every suggestion is backed by validation.

Agent orchestrates a multi-step reasoning process that analyzes diffs, dependencies, and framework patterns across your project. It references lint and test results, runs targeted verifications, and generates pull request feedback that passes framework-level checks automatically. The result is a review that is contextual and deeply aware of how your application actually runs in production.

In practice, this means faster merges without compromise. Agent identifies regressions before they land, flags performance issues that linters miss, and suggests secure, production-ready fixes. For developers, it feels like having a reviewer who never misses context and always tests what it recommends.

Pull request feedback that’s high-signal, not high-volume. Every suggestion from Vercel Agent is verified in context and tested in a Sandbox.Pull request feedback that’s high-signal, not high-volume. Every suggestion from Vercel Agent is verified in context and tested in a Sandbox.

Pull request feedback that’s high-signal, not high-volume. Every suggestion from Vercel Agent is verified in context and tested in a Sandbox.

Link to headingInvestigations: AI-powered debugging for production issues

Announced today, Investigations extends that same reasoning to your application's runtime.

Triggered by unusual application activity, Agent analyzes real-time and historical data to uncover why an event occurred. Powered by Framework-defined infrastructure, Agent has deep context about your application, allowing it to interpret the full underlying data and identify why something spiked, slowed, failed, or changed unexpectedly.

Investigations will explore questions like why a deployment slowed down, which function is throwing errors in production, and what changed between any two builds to quickly understand the root cause and provide actionable next steps when available.

Each investigation is grounded in the actual state of your app. Not guesses, but validated analysis.

For engineering teams, Investigations turn what used to be hours of debugging into a few seconds of reasoning. It transforms observability from a maze of dashboards into a simple conversation, helping you fix problems faster and understand your system more deeply.

When anomalies occur, Vercel Agent investigates automatically to separate signal from noise, surface what deserves your attention, and suggest next steps. When anomalies occur, Vercel Agent investigates automatically to separate signal from noise, surface what deserves your attention, and suggest next steps.

When anomalies occur, Vercel Agent investigates automatically to separate signal from noise, surface what deserves your attention, and suggest next steps.

Link to headingWhat’s next

Vercel Agent represents our first product in a new category: Agent-as-a-Service. Just as Software-as-a-Service abstracted the complexity of infrastructure, Agent-as-a-Service means you can rely on a production-grade agent that runs securely on your behalf. You don't need to build or host it yourself. It works for you, seamlessly integrated into your workflow. We're making it even easier to get started with our agentic marketplace, also available today.

With Code Review and Investigations available today, Vercel Agent is already changing how teams ship. But this is just the beginning. Soon, Agent will go beyond identifying and diagnosing issues. It will create pull requests, propose fixes, and automate the workflow from detection to deployment.

Vercel Agent is not just another AI tool. It is a teammate that understands your stack, your context, and your goals. It's built on the same infrastructure that powers Vercel itself, giving you the confidence to move fast without cutting corners.

The future of building is not just faster. It is smarter.

Start using Vercel Agent today

See how it feels to work with AI that truly ships with you.

Try Vercel Agent