936 articles on AI & ML.
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.
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 Investigation intelligently conducts incident response investigations to alert, analyze, and suggest remediation steps
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.
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 is now v0.app, the AI builder for everyone: founders, designers, developers, marketers, sales, finance, and more
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.
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.
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.
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.
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.
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.
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.
We built x402-mcp to integrate x402 payments with Model Context Protocol (MCP) servers and the Vercel AI SDK.
Today, Vercel announced an important milestone: a Series F funding round valuing our company at $9.3 billion.
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 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.
We're presenting a simple methodology for discovering successful agent projects that perform well with current generation AI
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.
Build video generation into your apps with AI Gateway. Create product videos, dynamic content, and marketing assets at scale.
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.
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.
Vercel Agent provides AI-powered code reviews and production investigations, delivering accurate, context-aware insights to help you ship reliable software.
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 cuts cold starts and compute costs by up to 95%, scaling I/O-bound and AI workloads efficiently across 45B+ weekly requests.
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, 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.
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.
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.
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.
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.
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.
Saying you use AI responsibly is easy, but proving it to an accredited auditor is harder. We decided that was a standard worth meeting.
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 […]
We used DSPy to improve LLM judges and optimize our chat experience, creating an evaluation-driven feedback loop that produced better outputs.
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 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.
Our community imagines how AI might bring about more human ways to interact with software.
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.
We’re calling for targeted amendments to resolve conflicts with open source licensing and align with international transparency frameworks while preserving regulatory intent.
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.
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.
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.
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.
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.
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.
How GitHub Copilot is making more of each session go toward useful work, so your credits go further.
How Shopify built an LLM-powered pipeline to match product listings across millions of merchants into a unified catalog that AI agents can search.
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.
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.
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: Learn how to use slash commands to control your terminal AI agent.
A new repository-level dataset, published on GitHub under CC0-1.0, helps researchers and developers discover multilingual developer content across READMEs, issues, and pull requests.
Our Sidekick team used LLM judges to automatically curate training data and teach domain-specific models how to refuse impossible queries.
Better orchestration, fewer handoffs, faster progress, without a single new knob.
Alerts are more trustworthy and actionable when noise is reduced. See how we improved the verification step with context-aware LLM reasoning.
Install and configure LSP servers for GitHub Copilot CLI, replacing brute-force grep/decompile with real code intelligence.
