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Year 2026

1,182 articles published in 2026.

AI & ML — Agents have their own computers with Sandboxes GA

Agents have their own computers with Sandboxes GA

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.

KRKate Reznykova, Mike NomitchKate Reznykova, Mike Nomitch·April 13, 2026AI & ML
AI & ML — Building a CLI for all of Cloudflare

Building a CLI for all of Cloudflare

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.

MTMatt Tk Taylor, Dimitri MitropoulosMatt Tk Taylor, Dimitri Mitropoulos·April 13, 2026AI & ML
Security — Dynamic, identity-aware, and secure Sandbox auth

Dynamic, identity-aware, and secure Sandbox auth

Outbound Workers for Sandboxes provide a programmable, zero-trust egress proxy for AI agents. This allows developers to inject credentials and enforce dynamic security policies without exposing sensitive tokens to untrusted code.

MNMike Nomitch, Gabi Villalonga SimonMike Nomitch, Gabi Villalonga Simon·April 13, 2026Security
Frontend — Squash and Stretch

Squash and Stretch

Have you ever heard of Disney’s 12 Basic Principles of Animation? In this tutorial, we’ll explore how we can use the very first principle to create SVG micro-interactions that feel way more natural and believable. It’s one of those small things that has a big impact.

JWJosh W. Comeau·April 13, 2026Frontend
Design & UX — Managing context in long-run agentic applications

Managing context in long-run agentic applications

Excerpt In complex, long-running agentic systems, maintaining alignment and coherent reasoning between agents requires careful design. In this second article of our series, we explore these challenges and the mechanisms we built to keep teams of agents working productively over long time spans. We present a range of complementary techniques that balance the conflicting requirements…

DMDominic Marks·April 13, 2026Design & UX
Engineering — Welcome to Agents Week

Welcome to Agents Week

Cloudflare's mission has always been to help build a better Internet. Sometimes that means building for the Internet as it exists. Sometimes it means building for the Internet as it's about to become. This week, we're kicking off Agents Week, dedicated to what comes next.

RDRita, Dane KnechtRita, Dane Knecht·April 12, 2026Engineering
Frontend — Selecting a Date Range in CSS

Selecting a Date Range in CSS

A clever approach for selecting multiple dates on a calendar where the :nth-child()'s “n of selector” syntax does all the heavy lifting... even in the JavaScript.

PPreethiPreethi·April 9, 2026Frontend
SRE & Ops — Escaping the Fork: How Meta Modernized WebRTC Across 50+ Use Cases

Escaping the Fork: How Meta Modernized WebRTC Across 50+ Use Cases

At Meta, WebRTC powers real-time audio and video across various platforms. But forking a large open-source project like WebRTC within our monorepo presents unique challenges – over time, an internal fork can drift behind upstream, cutting itself off from community upgrades. We’re sharing how we escaped this “forking trap” – from building a dual-stack architecture […]

CWChris Wiltz·April 9, 2026SRE & Ops
AI & ML — Patterns for Reducing Friction in AI-Assisted Development

Patterns for Reducing Friction in AI-Assisted Development

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.

RGRahul Garg·April 8, 2026AI & ML
SRE & Ops — Trust But Canary: Configuration Safety at Scale

Trust But Canary: Configuration Safety at Scale

As AI increases developer speed and productivity it also increases the need for safeguards. On this episode of the Meta Tech Podcast, Pascal Hartig sits down with Ishwari and Joe from Meta’s Configurations team to discuss how Meta makes config rollouts safe at scale. Listen in to learn about canarying and progressive rollouts, the health checks […]

CWChris Wiltz·April 8, 2026SRE & Ops
Engineering — Alternatives to the !important Keyword

Alternatives to the !important Keyword

Cascade layers, specificity tricks, smarter ordering, and even some clever selector hacks can often replace !important with something cleaner, more predictable, and far less embarrassing to explain to your future self.

SMSaleh MubasharSaleh Mubashar·April 7, 2026Engineering
Performance — Principles of Mechanical Sympathy

Principles of Mechanical Sympathy

Modern hardware is remarkably fast, but software often fails to leverage it. Mechanical sympathy - a concept borrowed from racing and popularized in software by Martin Thompson - is the practice of creating software that is sympathetic to its underlying hardware. This practice can be distilled into a set of everyday principles: Predictable memory access, awareness of cache lines, the single-writer

CSCaer Sanders·April 7, 2026Performance
SRE & Ops — How Meta Used AI to Map Tribal Knowledge in Large-Scale Data Pipelines

How Meta Used AI to Map Tribal Knowledge in Large-Scale Data Pipelines

AI coding assistants are powerful but only as good as their understanding of your codebase. When we pointed AI agents at one of Meta’s large-scale data processing pipelines – spanning four repositories, three languages, and over 4,100 files – we quickly found that they weren’t making useful edits quickly enough. We fixed this by building […]

CWChris Wiltz·April 6, 2026SRE & Ops
AI & ML — Why we're rethinking cache for the AI era

Why we're rethinking cache for the AI era

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.

AWAvani Wildani, SulemanAvani Wildani, Suleman·April 2, 2026AI & ML
AI & ML — Harness engineering for coding agent users

Harness engineering for coding agent users

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

BBBirgitta Böckeler·April 2, 2026AI & ML
SRE & Ops — KernelEvolve: How Meta’s Ranking Engineer Agent Optimizes AI Infrastructure

KernelEvolve: How Meta’s Ranking Engineer Agent Optimizes AI Infrastructure

This is the second post in the Ranking Engineer Agent blog series exploring the autonomous AI capabilities accelerating Meta’s Ads Ranking innovation. The previous post introduced Ranking Engineer Agent’s ML exploration capability, which autonomously designs, executes, and analyzes ranking model experiments. This post covers how to optimize the low-level infrastructure that makes those models run

CWChris Wiltz·April 2, 2026SRE & Ops
Systems — Optimizing Vercel Sandbox snapshots

Optimizing Vercel Sandbox snapshots

Vercel Sandbox snapshots let you save and restore your entire filesystem. Learn how we optimized snapshot restores with parallel downloads, streaming decompression, and local NVMe caching.

VVercel·April 2, 2026Systems
AI & ML — Meta Adaptive Ranking Model: Bending the Inference Scaling Curve to Serve LLM-Scale Models for Ads

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 […]

CWChris Wiltz·March 31, 2026AI & ML
Networking — From Custom to Open: Scalable Network Probing and HTTP/3 Readiness with Prometheus

From Custom to Open: Scalable Network Probing and HTTP/3 Readiness with Prometheus

The Problem: Legacy Tooling and Its Limitations Currently, Slack utilizes a hybrid approach to network measurement, incorporating both internal (such as traffic between AWS Availability Zones) and external (monitoring traffic from the public internet into Slack’s infrastructure) solutions. These tools comprise a combination of commercial SaaS offerings and custom-built network testing solutions de

CPCarlo PreciadoCarlo Preciado·March 31, 2026Networking
SRE & Ops — AI for American-Produced Cement and Concrete

AI for American-Produced Cement and Concrete

Meta is continuing its long-term roadmap to help the construction industry leverage AI to produce high-quality and more sustainable concrete mixes, as well as those exclusively produced in the United States. Concurrent with the 2026 American Concrete Institute (ACI) Spring Convention, Meta is releasing a new AI model for designing concrete mixes – Bayesian Optimization […]

CWChris Wiltz·March 30, 2026SRE & Ops
SRE & Ops — A one-line Kubernetes fix that saved 600 hours a year

A one-line Kubernetes fix that saved 600 hours a year

When we investigated why our Atlantis instance took 30 minutes to restart, we discovered a bottleneck in how Kubernetes handles volume permissions. By adjusting the fsGroupChangePolicy, we reduced restart times to 30 seconds.

BSBraxton SchaferBraxton Schafer·March 26, 2026SRE & Ops