Run multiple agents at once with /fleet in Copilot CLI
/fleet lets Copilot CLI dispatch multiple agents in parallel. Learn how to write prompts that split work across files, declare dependencies, and avoid common pitfalls.
A Practical Guide To Design Principles — Smashing Magazine
Design principles with references, examples, and methods for quick look-up. Brought to you by Design Patterns For AI Interfaces, **friendly video courses on UX** and design patterns by Vitaly.
How Waldium made a blog platform work for humans and AI alike
Agent-driven development in Copilot Applied Science
I used coding agents to build agents that automated part of my job. Here’s what I learned about working better with coding agents.
Meta Adaptive Ranking Model: Bending the Inference Scaling Curve to Serve LLM-Scale Models for Ads
Meta continues to lead the industry in utilizing groundbreaking AI Recommendation Systems (RecSys) to deliver better experiences for people, and better results for advertisers. To reach the next frontier of performance, we are scaling Meta’s Ads Recommender runtime models to LLM-scale & complexity to further a deeper understanding of people’s interests and intent. This increase […]
How FLORA shipped a creative agent on Vercel's AI stack
Updates to GitHub Copilot interaction data usage policy
From April 24 onward, interaction data—specifically inputs, outputs, code snippets, and associated context—from Copilot Free, Pro, and Pro+ users will be used to train and improve our AI models unless they opt out.
Building AI-powered GitHub issue triage with the Copilot SDK
Learn how to integrate the Copilot SDK into a React Native app to generate AI-powered issue summaries, with production patterns for graceful degradation and caching.
SERHANT.'s playbook for rapid AI iteration
Three of the biggest fraud trends from MRC Vegas 2026
The most sophisticated fraud teams are removing friction for trusted users, embedding fraud detection directly into agentic transactions, and investing in multilayered identity verification to combat deepfakes.
Powering the agents: Workers AI now runs large models, starting with Kimi K2.5
Kimi K2.5 is now on Workers AI, helping you power agents entirely on Cloudflare’s Developer Platform. Learn how we optimized our inference stack and reduced inference costs for internal agent use cases.
How Squad runs coordinated AI agents inside your repository
An inside look at repository-native orchestration with GitHub Copilot and the design patterns behind multi-agent workflows that stay inspectable, predictable, and collaborative.
Building a Magic Mirror: AI retail experiences with Remix (2026) - Shopify
How we built a configurable in-store AI experience that any merchant can adapt to their brand.
Friend Bubbles: Enhancing Social Discovery on Facebook Reels
Friend bubbles in Facebook Reels highlight Reels your friends have liked or reacted to, helping you discover new content and making it easier to connect over shared interests. This article explains the technical architecture behind friend bubbles, including how machine learning estimates relationship strength and ranks content your friends have interacted with to create more […]
Implementing Hybrid Semantic + Lexical Search
Semantic search alone wasn't good enough. Here's how I improved search on kentcdodds.com through three rounds of iteration with Cursor and GPT-5.4, each time learning something that the previous design missed.
Continuous AI for accessibility: How GitHub transforms feedback into inclusion
AI automates triage for accessibility feedback, allowing us to focus on fixing barriers—turning a chaotic backlog into continuous, rapid resolutions.
10 things we learned building for the first generation of agentic commerce
A future where we buy with AI agents feels inevitable. Making it actually work is harder. These lessons from the first wave of agentic commerce are meant to help sellers decide what to tackle, avoid common bottlenecks, and get ahead of what’s coming.
Slashing agent token costs by 98% with RFC 9457-compliant error responses
Cloudflare now returns RFC 9457-compliant structured Markdown and JSON error payloads to AI agents, replacing heavyweight HTML pages with machine-readable instructions. This reduces token usage by over 98%, turning brittle parsing into efficient control flow.
5 design skills to sharpen in the AI era
Our latest research highlights the skills designers need to meet the moment.
Vishal Kapoor’s 10 rules for building honest products with AI
Affirm SVP of Product Vishal Kapoor shares 10 non-negotiable rules for harnessing AI to build products that are clear, secure, and fundamentally honest.
The era of “AI as text” is over. Execution is the new interface.
AI is shifting from prompt-response interactions to programmable execution. See how the GitHub Copilot SDK enables agentic workflows directly inside your applications.
Active defense: introducing a stateful vulnerability scanner for APIs
Cloudflare’s new Web and API Vulnerability Scanner helps teams proactively find logic flaws. By using AI to build API call graphs, we identify vulnerabilities that standard defensive tools miss.
Under the hood: Security architecture of GitHub Agentic Workflows
GitHub Agentic Workflows are built with isolation, constrained outputs, and comprehensive logging. Learn how our threat model and security architecture help teams run agents safely in GitHub Actions.
How to scan for vulnerabilities with GitHub Security Lab’s open source AI-powered framework
GitHub Security Lab Taskflow Agent is very effective at finding Auth Bypasses, IDORs, Token Leaks, and other high-impact vulnerabilities.
Human Strategy In An AI-Accelerated Workflow — Smashing Magazine
UX design is entering a new phase, with designers shifting from makers of outputs to directors of intent. AI can now generate wireframes, prototypes, and even design systems in minutes, but UX has never been only about creating interfaces. It’s about navigating ambiguity, advocating for humans in systems optimised for efficiency, and solving their problems through thoughtful design.
60 million Copilot code reviews and counting
How Copilot code review helps teams keep up with AI-accelerated code changes.
Our Config 2026 speakers on the biggest opportunities with AI
Here’s a first look at our speakers and how they’re interrogating craft, quality, and intention in an AI-powered world.
Join or host a GitHub Copilot Dev Days event near you
GitHub Copilot Dev Days is a global series of hands-on, in-person, community-led events designed to help developers explore real-world, AI-assisted coding.
Optimizing Recommendation Systems with JDK’s Vector API
By Harshad Sane
Modernizing with agile SASE: a Cloudflare One blog takeover
In 2026, agile SASE is the engine for modernization. Discover how Cloudflare One secures humans, devices, and AI agents on a single, programmable connectivity cloud.
From idea to pull request: A practical guide to building with GitHub Copilot CLI
A hands-on guide to using GitHub Copilot CLI to move from intent to reviewable changes, and how that work flows naturally into your IDE and GitHub.
2,000 robots walk into a shop: Simulated A/B testing (2026) - Shopify
No traffic? No problem. SimGym sends hundreds of AI shoppers through your store to simulate A/B tests. A Shopify and NVIDIA collaboration.
Keeping community human while scaling with agents
Learn how Vercel scales community support with AI agents. We automated logistics to reclaim human focus, empowering our team to solve complex problems
Using LLMs to amplify human labeling and improve Dash search relevance
How we train Dash's search ranking models with a mix of human and LLM-assisted labeling.
What’s new with GitHub Copilot coding agent
GitHub Copilot coding agent now includes a model picker, self-review, built-in security scanning, custom agents, and CLI handoff. Here’s what’s new and how to use it.
How OpenEvidence built a healthcare AI that physicians actually trust
Multi-agent workflows often fail. Here’s how to engineer ones that don’t.
Most multi-agent workflow failures come down to missing structure, not model capability. Learn the three engineering patterns that make agent systems reliable.
Building Semantic Search on my Content
I've added some pretty cool AI-powered features to kentcdodds.com and I want to tell you all about it.
Helping YOU ask ME questions with AI
Here's how I've made it easier for you to call into the Call Kent podcast without having to record yourself and also make yourself anonymous using AI.
RCCLX: Innovating GPU Communications on AMD Platforms
We are open-sourcing the initial version of RCCLX – an enhanced version of RCCL that we developed and tested on Meta’s internal workloads. RCCLX is fully integrated with Torchcomms and aims to empower researchers and developers to accelerate innovation, regardless of their chosen backend. Communication patterns for AI models are constantly evolving, as are hardware […]
How AI is reshaping developer choice (and Octoverse data proves it)
AI is rewiring developer preferences through convenience loops. Octoverse 2025 reveals how AI compatibility is becoming the new standard for technology choice.
How Stably ships AI testing agents in hours, not weeks
Automate repository tasks with GitHub Agentic Workflows
Discover GitHub Agentic Workflows, now in technical preview. Build automations using coding agents in GitHub Actions to handle triage, documentation, code quality, and more.
How low-bit inference enables efficient AI
Making products like Dropbox Dash accessible to individuals and businesses means tackling new challenges around efficiency and resource use.
Designing For Agentic AI: Practical UX Patterns For Control, Consent, And Accountability — Smashing Magazine
Autonomy is an output of a technical system. Trustworthiness is an output of a design process. Here are concrete design patterns, operational frameworks, and organizational practices for building agentic systems that are not only powerful but also transparent, controllable, and trustworthy.
Why demand for designers is on the rise
Our latest study suggests that AI is driving renewed momentum in design hiring. We unpack why that is, what hiring managers prioritize, and which skills designers need to get ahead.
How we built AEO tracking for coding agents
Learn how we built an AI Engine Optimization system to track coding agents using Vercel Sandbox, AI Gateway, and Workflows for isolated execution.
Anyone can build agents, but it takes a platform to run them
Why competitive advantage in AI comes from the platform you deploy agents on, not the agents themselves.
Continuous AI in practice: What developers can automate today with agentic CI
Think of Continuous AI as background agents that operate in your repository for tasks that require reasoning.
The Vercel AI Accelerator is back with $6m in credits
A six-week program to help you scale your AI company offering over $6M in credits from Vercel, v0, AWS, and leading AI platforms
For the love of craft: Vectorize images in Figma
With our new AI image editing tool, Vectorize, you can turn raster images into editable vectors, allowing you to tweak, refine, and scale designs directly in Figma.
Pick your agent: Use Claude and Codex on Agent HQ
Claude by Anthropic and OpenAI Codex are now available in public preview on GitHub and VS Code with a Copilot Pro+ or Copilot Enterprise subscription. Here’s what you need to know and how to get started today.
Combobox vs. Multiselect vs. Listbox: How To Choose The Right One — Smashing Magazine
Combobox vs. Multi-Select vs. Listbox vs. Dual Listbox? How they are different, what purpose they serve, and how to choose the right one. Brought to you by Design Patterns For AI Interfaces, **friendly video courses on UX** and design patterns by Vitaly.
How to maximize GitHub Copilot’s agentic capabilities
A senior engineer’s guide to architecting and extending Copilot’s real-world applications.
Google’s AI advantage: why crawler separation is the only path to a fair Internet
Google's dual-purpose crawler creates an unfair AI advantage. To protect publishers and foster competition, the UK’s Competition and Markets Authority must mandate crawler separation for search and AI.
Practical Use Of AI Coding Tools For The Responsible Developer — Smashing Magazine
AI coding tools like agents can be valuable allies in everyday development work. They help handle time-consuming grunt work, guide you through large legacy codebases, and offer low-risk ways to implement features in previously unfamiliar programming languages. Here are practical, easy-to-apply techniques to help you use these tools to improve your workflow.
Run untrusted code with Vercel Sandbox, now generally available
AI agents need secure, isolated environments that spin up instantly. Vercel Sandbox is now generally available with filesystem snapshots, container support, and production reliability.
Introducing Moltworker: a self-hosted personal AI agent, minus the minis
Moltworker is a middleware Worker and adapted scripts that allows running Moltbot (formerly Clawdbot) on Cloudflare's Sandbox SDK and our Developer Platform APIs. So you can self-host an AI personal assistant — without any new hardware.
From pixels to characters: The engineering behind GitHub Copilot CLI’s animated ASCII banner
Learn how GitHub built an accessible, multi-terminal-safe ASCII animation for the Copilot CLI using custom tooling, ANSI color roles, and advanced terminal engineering.
Think outside of the box—with Claude and FigJam
With the Figma MCP app in Claude, powered by Anthropic, designers, developers, and product managers can now create AI-generated FigJam diagrams.