907 articles on AI & ML.
Soft directives don’t stop crawlers from ingesting deprecated content. Redirects for AI Training allows anybody on Cloudflare to redirect verified crawlers to canonical pages with one toggle and no origin changes.
Cloudflare Agent Memory is a managed service that gives AI agents persistent memory, allowing them to recall what matters, forget what doesn't, and get smarter over time.
See how we created an emoji list generator during the Rubber Duck Thursday stream.
AI Search is the search primitive for your agents. Create instances dynamically, upload files, and search across instances with hybrid retrieval and relevance boosting. Just create a search instance, upload, and search.
We're building AI Gateway into a unified inference layer for AI, letting developers call models from 14+ providers. New features include Workers AI binding integration and an expanded catalog with multimodal models.
Browser Rendering is now Browser Run, with Live View, Human in the Loop, CDP access, session recordings, and 4x higher concurrency limits for AI agents
Announcing a preview of the next edition of the Agents SDK — from lightweight primitives to a batteries-included platform for AI agents that think, act, and persist.
The Cloudflare Registrar API is now in beta. Developers and AI agents can search, check availability, and register domains at cost directly from their editor, their terminal, or their agent — without leaving their workflow.
Learn about the productivity tool one GitHub engineer built, and how AI supported the development process.
Cloudflare Mesh provides secure, private network access for users, nodes, and autonomous AI agents. By integrating with Workers VPC, developers can now grant agents scoped access to private databases and APIs without manual tunnels.
Managed OAuth for Cloudflare Access helps AI agents securely navigate internal applications. By adopting RFC 9728, agents can authenticate on behalf of users without using insecure service accounts.
We share Cloudflare's internal strategy for governing MCP using Access, AI Gateway, and MCP server portals. We also launch Code Mode to slash token costs and recommend new rules for detecting Shadow MCP in Cloudflare Gateway.
Learn to find and exploit real-world agentic AI vulnerabilities through five progressive challenges in this free, open source game that over 10,000 developers have already used to sharpen their security skills.
Cloudflare Sandboxes give AI agents a persistent, isolated environment: a real computer with a shell, a filesystem, and background processes that starts on demand and picks up exactly where it left off.
We’re introducing cf, a new unified CLI designed for consistency across the Cloudflare platform, alongside Local Explorer for debugging local data. These tools simplify how developers and AI agents interact with our nearly 3,000 API operations.
GitHub for Beginners: Getting started with the GitHub Copilot CLI, a step-by-step tutorial.
To build upon a visual language with AI, you need to harness the logic behind each prompt. Here, we share five creative workflows that show the breadth of what the Figma Weave canvas can do.
The practices that make human pair programming effective—onboarding, structured design discussion, shared standards—apply equally to working with AI coding assistants. I propose five patterns that bring this collaborative scaffolding to AI-assisted development, shifting the experience from correcting a tool to collaborating with a capable teammate.
Designing for agentic AI requires attention to both the system’s behavior and the transparency of its actions. Between the black box and the data dump lies a more thoughtful approach. Victor Yocco explores how to map decision points and reveal the right moments to build trust through clarity, not noise.
Discover how Rubber Duck provides a different perspective to GitHub Copilot CLI.
The explosion of AI-bot traffic, representing over 10 billion requests per week, has opened up new challenges and opportunities for cache design. We look at some of the ways AI bot traffic differs from humans, how this impacts CDN cache, and some early ideas for how Cloudflare is designing systems to improve both the AI and human experience.
To let coding agents work with less supervision, we need ways to increase our confidence in their result. As software engineers, we have a natural trust barrier with AI-generated code - LLMs are non-deterministic, they don't know our context, and they don't really understand the code, they think in tokens. This article explores a mental model that brings together emerging concepts from context and
Retailers know search and discovery have already shifted. What comes next is less settled. From embedded checkout to emerging third-party surfaces, here’s how ecommerce and AI leaders are integrating agentic commerce.
/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.
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.
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 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 […]
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.
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.
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.
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.
An inside look at repository-native orchestration with GitHub Copilot and the design patterns behind multi-agent workflows that stay inspectable, predictable, and collaborative.
How we built a configurable in-store AI experience that any merchant can adapt to their brand.
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 […]
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.
AI automates triage for accessibility feedback, allowing us to focus on fixing barriers—turning a chaotic backlog into continuous, rapid resolutions.
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.
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.
Our latest research highlights the skills designers need to meet the moment.
Affirm SVP of Product Vishal Kapoor shares 10 non-negotiable rules for harnessing AI to build products that are clear, secure, and fundamentally honest.
AI is shifting from prompt-response interactions to programmable execution. See how the GitHub Copilot SDK enables agentic workflows directly inside your applications.
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.
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.
GitHub Security Lab Taskflow Agent is very effective at finding Auth Bypasses, IDORs, Token Leaks, and other high-impact vulnerabilities.
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.
How Copilot code review helps teams keep up with AI-accelerated code changes.
Here’s a first look at our speakers and how they’re interrogating craft, quality, and intention in an AI-powered world.
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.
By Harshad Sane
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.
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.
No traffic? No problem. SimGym sends hundreds of AI shoppers through your store to simulate A/B tests. A Shopify and NVIDIA collaboration.
Learn how Vercel scales community support with AI agents. We automated logistics to reclaim human focus, empowering our team to solve complex problems
How we train Dash's search ranking models with a mix of human and LLM-assisted labeling.
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.
