Open-weight models surge to 29% of volume, price per token flattens
The AI Gateway production index covering data from June 2026: Open-weight models increased to a third of all token volume; Anthropic continues to dominate spend with 61%
Better tools made Copilot code review worse. Here’s how we actually improved it.
How migrating Copilot code review to shared Unix-style code exploration tools reduced review cost by reshaping agent workflows around pull request evidence.
Why we cannot wait for better post-quantum signature algorithms
NIST is advancing nine new post-quantum signature algorithms as potential candidates for future standardization. We take a closer look at all of them, and argue that while they are in the works and show great potential, we should use ML-DSA for now — the best one currently available.
Automating cross-repo documentation with GitHub Agentic Workflows
Explore how the Aspire team turns merged product changes into SME-reviewed docs pull requests, closing the gap between release and documentation.
How GitHub Copilot enables zero DNS configuration for GitHub Pages
Go from an empty repository to a live custom domain with HTTPS in about 14 minutes, without manually editing a single DNS record.
Users Don’t Need More Tools: They Need Seamless Integrations — Smashing Magazine
A closer look at why users don’t need more tools in their daily lives. What they need are seamless integrations of useful features to match already existing, established mental models. Brought to you by Design Patterns For AI Interfaces, **friendly video course on UX** and design patterns by Vitaly.
Matching AI Modality To User Intent: Designing The Right Interface — Smashing Magazine
We’ve fallen into conversational tunnel vision, defaulting every AI capability into a chat-based interface simply because LLMs are trained on dialogue data. But great UX is about matching modality to users’ context, intent, and cognitive load, so the interface adapts to the user, not the other way around.
Vercel Agent can now run AI investigations
Vercel Agent Investigation intelligently conducts incident response investigations to alert, analyze, and suggest remediation steps
7 AI features you can add to your app today
Discover how AI is transforming businesses with Vercel. Learn about easy LLM integration, 7 game-changing applications, and how to implement AI features to boost user experience and growth.
Building secure AI agents
Learn how to design secure AI agents that resist prompt injection attacks. Understand tool scoping, input validation, and output sanitization strategies to protect LLM-powered systems.
v0.dev -> v0.app
v0.dev is now v0.app, the AI builder for everyone: founders, designers, developers, marketers, sales, finance, and more
Meet the 2026 Vercel AI Accelerator Cohort
The Vercel AI Accelerator is back with 39 early-stage teams from around the world, $8M+ in partner credits, and a Demo Day in San Francisco on April 16.
How to become an AI engineering company
The question isn’t if AI will transform your business, but how to use it to maintain your competitive edge. Vercel CTO Malte Ubl shows how companies can understand AI’s fundamental shifts, adapt their skills, and integrate AI into their businesses.
Building efficient MCP servers
MCP is becoming the standard for building AI model integrations. See how you can use Vercel's open-source MCP adapter to quickly build your own MCP server, like the teams at Zapier, Composio, and Solana.
Agent responsibly
There's a difference between leveraging AI and relying on it. A framework for shipping agent-generated code with the judgment and guardrails it requires.
Use Perplexity Web Search with Vercel AI Gateway
Vercel AI Gateway now supports Perplexity Web Search as a model-agnostic tool that works for all models and providers. Use the tool to get access to the most recent information to supplement your AI queries.
How Mux shipped durable video workflows with their @mux/ai SDK
Learn how Mux built durable AI video workflows into their @mux/ai SDK using Workflow DevKit, with automatic retries, state persistence, and zero infrastructure setup.
Proposal for inline LLM instructions in HTML based on llms.txt
llms.txt is an emerging standard for making content such as docs available for direct consumption by AIs. We’re proposing a convention to include such content directly in HTML responses.
Introducing x402-mcp: Open protocol payments for MCP tools
We built x402-mcp to integrate x402 payments with Model Context Protocol (MCP) servers and the Vercel AI SDK.
Towards the AI Cloud: Our Series F
Today, Vercel announced an important milestone: a Series F funding round valuing our company at $9.3 billion.
Grep a million GitHub repositories via MCP
Search 1M+ GitHub repositories from your AI agent using Grep's MCP server. Your agent can now reference coding patterns and solutions used in open source projects to solve problems.
If agents are building your app, who gets the W-2?
If agents can design, build, test, and deploy features, their work should be treated like a developer's under GAAP. With modern AI logging, you can tie usage directly to capitalizable development activity.
What we learned building agents at Vercel
We're presenting a simple methodology for discovering successful agent projects that perform well with current generation AI
Vercel Ship AI 2025 recap
Earlier this year we introduced the foundations of the AI Cloud: a platform for building intelligent systems that think, plan, and act. At Ship AI, we showed what comes next. What and how to build with the AI Cloud.
Video Generation with AI Gateway
Build video generation into your apps with AI Gateway. Create product videos, dynamic content, and marketing assets at scale.
Zero Data Retention on AI Gateway
Enforce zero data retention across your entire team and prevent providers from training on your data. AI Gateway handles routing and provider agreements for you.
How Vercel's adapting SEO for LLMs and AI search
AI is changing how content gets discovered. Now, SEO ranking ≠ LLM visibility. No one has all the answers, but here's how we're adapting our approach to SEO for LLMs and AI search.
Introducing Vercel Agent: Your new Vercel teammate
Vercel Agent provides AI-powered code reviews and production investigations, delivering accurate, context-aware insights to help you ship reliable software.
Unified reporting for all AI Gateway usage
Break down AI inference costs by model, provider, user, and pricing tier. The Custom Reporting API gives you the data to calculate margins, track customer usage, and optimize spend across BYOK and system credentials.
Fluid compute: How we built serverless servers
Fluid Compute cuts cold starts and compute costs by up to 95%, scaling I/O-bound and AI workloads efficiently across 45B+ weekly requests.
The AI Cloud: A unified platform for AI workloads
We made it simple to build, preview, and ship any frontend, from marketing pages to dynamic apps, without managing infrastructure. Now we’re introducing the next layer: the Vercel AI Cloud.
Fluid compute: Evolving serverless for AI workloads
Fluid, our newly announced compute model, eliminates wasted compute by maximizing resource efficiency. Instead of launching a new function for every request, it intelligently reuses available capacity, ensuring that compute isn’t sitting idle.
Building AI-Generated Pixel Trading Cards with Vercel AI Gateway
How Vercel built AI-generated pixel trading cards for Next.js Conf and Ship AI, then turned the same pipeline into a v0 template and festive holiday experiment.
AI Gateway production index
The state of production AI in 2026. Data from seven months of AI Gateway traffic across hundreds of models and tens of trillions of tokens.
Making AI search smarter
Search is how we find nearly everything on the web — creators, merchants, answers. AI is rewriting the rules, leaving creators caught between staying discoverable in an agentic era and getting paid for their work. Today we're launching two initiatives to help.
Your site, your rules: new AI traffic options for all customers
For our second Content Independence Day, we’re giving website owners finer options to manage AI traffic. Instead of a one-size-fits-all block, all customers can now easily distinguish and manage Search, Agent, and Training bots, alongside the new ability to protect ad-monetized pages.
Content Independence Day, one year on- building the business model for the agentic Internet
One year after declaring Content Independence Day, a dynamic market for monetized content has officially emerged. In this report, we examine how the rise of autonomous AI agents is upending traditional search referrals and detail the new infrastructure required to support a sustainable web economy.
Agentic test processes, LLM benchmarks, and other notes on agentic coding from Galapagos Island
Trust you can verify: Figma is now ISO 42001 certified
Saying you use AI responsibly is easy, but proving it to an accredited auditor is harder. We decided that was a standard worth meeting.
10 Years of Meta’s Commitment to Python
This year marks Meta’s 10th consecutive year as a sponsor of the Python Software Foundation (PSF), the charitable organization dedicated to advancing, supporting, and protecting the open-source Python programming language and the community that sustains it. Python is one of the world’s most influential programming languages, and we use it across our engineering stack, from […]
GenPage: Towards End-to-End Generative Homepage Construction at Netflix
How we used DSPy to turn AI evaluations into better responses in Dash chat
We used DSPy to improve LLM judges and optimize our chat experience, creating an evaluation-driven feedback loop that produced better outputs.
Evaluating performance and efficiency of the GitHub Copilot agentic harness across models and tasks
Explore how the GitHub Copilot agentic harness delivers strong results across multiple benchmarks and leading token efficiency, while maintaining flexibility to choose among more than 20 models.
AI SDK 7 is now available
AI SDK is the TypeScript SDK for building AI applications, features, frameworks, and agents across any model provider. AI SDK 7 focuses on what it takes to run AI in production.
What does the future of software look like?
Our community imagines how AI might bring about more human ways to interact with software.
I automated my job (and it made me a better leader)
Explore how my day as a senior leader looks now that I use 40 automations to help, and learn more about some of my favorites.
GitHub joins coalition advocating for fixes to California AI Transparency Act to protect open source
We’re calling for targeted amendments to resolve conflicts with open source licensing and align with international transparency frameworks while preserving regulatory intent.
Toward More Controllable AI Video Editing: An Early Research Exploration at Netflix
Four travel and hospitality trends from HITEC 2026
More than 6,000 hospitality executives and operators gathered in San Antonio last week for the HITEC conference. The big topic: whether the industry’s AI investment is actually working. Across four days and over 50 meetings, four trends stood out.
Temporary Cloudflare Accounts for AI agents
The moment an agent needs to deploy something, it slams face-first into a wall built for humans. Today we're rolling out Temporary Accounts on Cloudflare Workers. Any agent can now run wrangler deploy — temporary and get a live Worker in seconds.
How we built an internal data analytics agent
Qubot, our internal Copilot-powered analytics agent, allows any GitHub employee to ask questions about our data in plain language. Here’s what we learned as we built it.
Build your own vulnerability harness
We break down the technical architecture behind our multi-stage vulnerability discovery harness and automated triage loop. Learn how we manage state controls, squash false positives through adversarial review, and route around LLM context limits.
What Link data tells us about AI spending
We analyzed spending patterns across the 250 million customers paying with Link. We found that Link customers are spending more on AI than they were three months prior, investing heavily in platforms that let them build with AI.
Introducing the Cloudflare One stack- agent-powered deployment
The Cloudflare One stack is a library of agent skills that gives any AI agent the knowledge it needs to plan, deploy, and manage a Zero Trust environment — no migration calls required.
Getting more from each token: How Copilot improves context handling and model routing
How GitHub Copilot is making more of each session go toward useful work, so your credits go further.
Clustering billions of products for agentic commerce with Catalog API (2026) - Shopify
How Shopify built an LLM-powered pipeline to match product listings across millions of merchants into a unified catalog that AI agents can search.
What are git worktrees, and why should I use them?
Git worktrees have been around since 2015, but it wasn’t until recently they became popular. Learn what they are, how to use them, and why you might.
Designing With Uncertainty: How AI Supercharges Probabilistic Thinking — Smashing Magazine
In a world where AI is informing more design choices, it’s easy to mistake predictions for certainties. This article introduces Probabilistic Design, a mindset that allows UX and product teams to accept uncertainty, decipher AI outputs with nuance, and make smart, adaptive decisions.
Growing the Cloudflare AI team with talent from Ensemble AI
Cloudflare is deepening our investment in AI with the addition of team members from Ensemble AI, focusing on machine learning infrastructure and efficiency.
GitHub Copilot CLI for Beginners: Overview of common slash commands
GitHub Copilot CLI for Beginners: Learn how to use slash commands to control your terminal AI agent.
