GitHub Copilot app for Beginners: Run several agents at once
Learn how to run parallel agents in the GitHub Copilot app, and experience the moment it stops feeling scary and starts feeling powerful.
Project HydraFusion: Frontier quality via multi-model orchestration
In controlled offline evaluations, HydraFusion’s selective coding workflows matched or exceeded the evaluated Opus 5 baseline while reducing estimated workflow cost. Now available as a research preview in GitHub Copilot.
Portal by Spotify cut my Claude Code token usage by 90%
Most of what an AI coding agent does for me isn't thinking. It's I/O.
Decoding the new AI lingo: Loops, harnesses, squads, hill climbing… oh my!
From loop engineering to harnesses, squads, and open weights, the GitHub Podcast breaks down the AI terms showing up in developer conversations.
How we make AI coding more cost efficient without sacrificing task quality
Why shorter outputs can cost more, and how GitHub Copilot reduces wasted work across the complete coding task.
An Organizational Second Brain: Building an AI That Learns From Experts
We’ve built an AI agent that acts as a secondary expert for a given domain, making deep specialist knowledge readily available and preserved for anyone in an organization to access, share, and build upon. This is not a typical domain-specific agent. Its novelty comes from integrating two layers: A structured, auditable knowledge architecture separates what […]
How accurate have Ed Zitron's AI skeptic predictions been?
Making Your Data Ready for Agentic AI
For thirty years we built data systems for human analysts, who supply the context, judgment, and skepticism to work around data that's incomplete or wrong. Autonomous agents supply none of that. They act on whatever they're handed, confidently. For data to be AI-ready we need to build a series of layers: a data foundation that makes data trusted, a context layer to apply proper meaning, and an acc
GitHub Copilot app for Beginners: Automate Dependabot pull request triage
Managing library updates can be tedious at times. Learn how the GitHub Copilot app can handle this type of repetitive task.
The Agent Stack
Build production-grade AI agents with Vercel's Agent Stack. Connect to any model, run durable multi-step workflows, and securely link agents to your data and tools. Every building block you need, in one place.
How to evaluate LLMs before production
These are the lessons we learned evaluating LLMs for real-world secret scanning.
Say it once: introducing Bot Preference Sync
Cloudflare's new Bot Preference Sync automatically aligns your robots.txt file with your AI bot policies for Search, Agent, and Training. Easily manage which bots access your content without maintaining static files.
How Ora benchmarks every major AI agent on Vercel
GitHub Copilot app for Beginners: Managing your work
If you’re juggling multiple Copilot sessions, use the My work pane to track what’s in flight, what’s done, and what’s next.
AI Gateway: Production-ready reliability for your AI apps
AI Gateway, now generally available, ensures availability when a provider fails, avoiding low rate limits and providing consistent reliability for AI workloads.
A more flexible Pro plan for modern teams
We’re updating Vercel’s Pro plan to better align with how modern teams collaborate and how applications consume infrastructure, and how workloads are changing shape with AI.
Improving infrastructure efficiency for growing demand in the age of AI
As demand for AI continues to grow, so does the infrastructure needed to support it.
How canvases make agentic workflows visible, steerable, and cost-efficient
Chat is great for intent, but agent work gets lost in the scroll. Here is how I use canvases with my agentic workflows—and why your workflow also deserves a canvas.
How to bring your software delivery workflow into GitHub with agent apps
See how four GitHub agent apps can help you scope, secure, roll out, and ship a feature across the SDLC–all without leaving GitHub.
New EU Guidelines For AI Labelling — Smashing Magazine
New EU guidelines, why AI sparkles aren’t enough, when AI labels are required, and what the rules mean for AI-powered features and products.
When Can LLMs Replace Humans in A/B Tests?
TL;DR: LLM predictions can stand in for human outcomes in A/B tests, but only by assumption, not by design....
Inside the Vercel intern experience
Meet Vercel’s winter 2026 interns and see how they shipped production features across the CDN, v0, financial infrastructure, AI Gateway, and more.
GitHub Copilot app for Beginners: Write your first prompt
Learn how to write your first prompt in the GitHub Copilot app, choose the right context and model, and start your first task with confidence.
Building a software factory for AI SDK
We built a software factory that autonomously processes issues and PRs for the AI SDK, with humans in control of every merge. Four weeks in, it authors 25-40% of merged PRs.
Measuring time savings from Figma Make
The Figma Data Science team assumed that AI saves users time—but quantifying it required a new approach to research design.
Mapping the AI economy
AI companies are undergoing rapid global expansion while achieving unprecedented rates of growth. We analyzed Stripe data to understand where global demand is the strongest, and how companies can build to best capture that demand.
DeepSeek overtakes Google on volume, cost per token falls 13.6%
The AI Gateway production index covering data from July 2026: DeepSeek became the second-largest lab by token volume; Anthropic held 65% of spend at more than twice the average price per token
Using the GitHub Copilot SDK for Java
Enterprise Java developers have a new superpower—drive GitHub Copilot from idiomatic Java code with annotations, virtual threads, and more.
Unifying Workers AI and AI Gateway into a single AI control plane
Cloudflare is unifying AI Gateway and Workers AI into a single control plane, giving developers observability, billing, and dynamic routing across both managed GPUs and external providers. Learn how unified bindings and model-first routing simplify building resilient AI applications.
Introducing Radar Researcher: An AI tool for exploring Internet data in plain language
Cloudflare Radar Researcher is a new AI-powered tool that lets you explore global Internet trends and traffic data using plain language. Built entirely on Cloudflare's Developer Platform, it turns natural language queries into real, interactive charts.
From ranking to recommended: get your site ready to thrive in the age of AI agents
More than half of requests now come from machines, not people. Agent Readiness shows how well agents can discover and read your site, while Answer Engine Optimization tracks how often AI assistants recommend you.
Give any website a WebMCP interface
Today we're launching a developer preview of WebMCP on Cloudflare. With one switch, any site becomes usable by browser AI agents — no new APIs, no origin changes — while the human stays in control and creators keep their traffic.
Cloudflare AI Search: give your agents a search engine for your data
AI Search makes search easier than ever, with no Cloudflare primitives to stitch together. Point it at your data to create a search for your own files and websites. We're also sharing a preview of our new pricing model.
Introducing Kitesurf: The agent-first browser that runs in V8 isolates on Cloudflare Workers
We should be giving all agents tools that excel at what’s important for an AI model. Kitesurf is Cloudflare’s new stateless, highly scalable, and cost-effective web browser that runs entirely on top of Workers and was designed specifically for the Agentic Cloud.
A guide to slash commands in the GitHub Copilot app
Go beyond chat in the GitHub Copilot app with these slash commands. They’ll help you plan, collaborate, automate, and customize your dev workflow.
Introducing Agent Plugins
Agent Plugins 1.0.0 is an open, vendor-neutral specification for packaging Agent Skills and MCP servers into distributable plugins that compatible AI agent clients can discover and load.
Catching rogue AI behavior with identity-aware analytics
Identity-aware AI Gateway is now in open beta. User Insights turns that traffic into a behavioral baseline for every person and agent, and flags insider risk the moment it appears.
How we’re rethinking work at Cloudflare with Cloudflare OS
We built Cloudflare OS to equip our teams to safely rethink how they get work done with AI. The platform brings together the best of our technologies, from our Compute primitives to our Zero Trust suite. This post walks through our journey to give our users the best AI tools available.
Announcing Cloudflare Wallets: The programmable wallet for the agentic Internet
Cloudflare Wallets will provide AI agents with native payments and verifiable identity on the web. Using the x402 protocol, agents can autonomously purchase APIs and content within clear safety guardrails.
How Cloudflare enforces engineering standards using AI
We created the Cloudflare Codex, a governed body of engineering standards that AI agents consume across the development lifecycle. By pairing structured RFCs with agentic reviews, teams automatically enforce consistency across code, specs, and incident reports.
How we built a software factory to drive Astro’s GitHub issue count to zero
By replacing manual issue verification with isolated AI subagents running in GitHub Actions, the Astro maintainers reduced open issue count by 85%. This post explores the architecture behind automated bug reproduction, patch verification, and preview releases.
How the GitHub legal team used Copilot CLI to streamline their workflows
Learn how to build tools to simplify how you work—without writing a single line of code.
Turn one giant AI-generated pull request to a reviewable stack
Instead of one huge, un-reviewable pull request, teach coding agents to decompose work into a clean, ordered stack with GitHub stacked pull requests.
GEM Training: How Meta Doubled the Efficiency of Its LLM-Scale Ads Foundation Model
Meta’s Generative Ads Recommendation Model (GEM), the foundation model behind ads recommendations across Instagram and Facebook, now trains at LLM scale on several thousand of the latest-generation GPUs. This post goes into the details on how we achieved: doubling end-to-end (E2E) training efficiency to 20–25% Model FLOPs Utilization (MFU) while scaling training FLOPs 4x in […]
AI fluency isn't the finish line
Ninety percent of product builders say AI skills are essential to their future success. But what if we’re focused on the wrong ones?
Stacked sessions and pull requests in the GitHub Copilot app
Learn how I modernized an old codebase of mine using stacked sessions and pull requests in the GitHub Copilot app.
Introducing the new Vercel Agent
Today we are expanding access to Vercel Agent: an AI agent that safely and autonomously investigates incidents, fixes builds, and reviews PRs on your production
The Bull And Bear Case For Digital Design In The Age Of AI — Smashing Magazine
As AI reshapes product design, it could give designers greater autonomy or expose the gaps that autonomy makes harder to hide. Exploring both the bull and bear cases, Andy Budd examines what happens when designers need less permission to act.
Thinking Outside The Box: Digital Design In The AI Era — Smashing Magazine
Many of the AI tools we interact with take the form of text boxes. But what if there was a different way to interact with AI? Oleksii Hrzhehorzhevskyi explores a different approach to creating a new AI assistant and how designers can navigate the field as AI continues to change it.
The harness is all you need (mostly)
A practical GitHub Copilot workflow for prototyping, planning, implementing, and reviewing software without chasing every new AI tool.
GitHub Copilot app for Beginners: Getting started
New to the GitHub Copilot app? Learn how to start projects, work with AI agents, explore canvases, and streamline your development workflow.
Nick Bogaty joins Vercel as Chief Revenue Officer
Nick Bogaty joins Vercel as first Chief Revenue Officer from Adobe, bringing more than 20 years of enterprise GTM experience to lead an AI-forward sales organization.
Copilot vs. raw API access: What are you actually paying for?
Copilot now bills usage at listed API rates. Compare direct model access with the coding workflow, policy, and harness work around it.
How to build interactive experiences with canvases
Canvases turn AI into interactive workspaces where you can visualize information, explore workflows, and take action across complex tasks.
How our universal content processing platform Riviera evolved for AI and beyond
Riviera is the Dropbox content processing platform that’s been iteratively improving content transformation in our products for roughly a decade.
In-House LLM Serving at Netflix
The Archaeologist’s Copilot
This article explains the approach I used to modernize a Java 1.5 codebase that no longer built reliably on modern machines. My early use of LLMs gave me plausible answers that did not hold up in the codebase. Progress came when I grounded the process in evidence, using AI to support analysis, validation in a stable Docker environment, and gradual refactoring protected by tests. The main takeaway
Exploring Hierarchical Interest Representation For Meta Ads Deep Funnel Optimization
Hierarchical Interest Representation is a research area for Meta Ads. We’re exploring an upstream representation layer over the universe of Ads entities – users, advertisers, products, services – learning unified embeddings that connect users’ inferred interests with the breadth of what advertisers offer in their deep funnel ads. The innovations in Hierarchical Interest Representation are […] Read
No, People Don’t Want More AI In Their Life — Smashing Magazine
Many companies assume everyone craves new AI features. But the reality is that most people don
Modernizing the Meta Ads Service With an Open-Source Kernel Scheduler
TL; DR At Meta’s scale, a few milliseconds of latency degradation can have a significant negative impact on ads performance. When a Linux kernel upgrade risked regressing latency across Meta’s ad serving fleet, we turned to sched_ext — the upstream, BPF-based extensible scheduling framework — to build a scheduling policy customized to the Ads delivery […]