
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.
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Nick McKenna, Bartek Perz·April 6, 2026AI & ML 
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.
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Avani Wildani, Suleman·April 2, 2026AI & ML 
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 
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.
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Ashye Marcus·April 2, 2026AI & ML 
/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.
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Matt Nigh, Brian LaFlamme·April 1, 2026AI & ML 
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.
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Vitaly Friedman·April 1, 2026AI & ML 

I used coding agents to build agents that automated part of my job. Here’s what I learned about working better with coding agents.
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Tyler McGoffin·March 31, 2026AI & ML 
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 

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.
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Mario Rodriguez·March 25, 2026AI & ML 
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.
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Andrea Griffiths·March 24, 2026AI & ML 

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.
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Michelle, Kevin Flansburg·March 19, 2026AI & ML 
An inside look at repository-native orchestration with GitHub Copilot and the design patterns behind multi-agent workflows that stay inspectable, predictable, and collaborative.
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Brady Gaster·March 19, 2026AI & ML 
How we built a configurable in-store AI experience that any merchant can adapt to their brand.
SEShopify Engineering·March 19, 2026AI & ML 
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 […]
CWChris Wiltz·March 18, 2026AI & ML 
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.
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Kent C. Dodds·March 16, 2026AI & ML 
AI automates triage for accessibility feedback, allowing us to focus on fixing barriers—turning a chaotic backlog into continuous, rapid resolutions.
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Carie Fisher·March 12, 2026AI & ML 
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.
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Roshan Sadanani·March 12, 2026AI & ML 
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.
MSMadeline Stafford·March 10, 2026AI & ML 
Affirm SVP of Product Vishal Kapoor shares 10 non-negotiable rules for harnessing AI to build products that are clear, secure, and fundamentally honest.
VKVishal Kapoor·March 10, 2026AI & ML 
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.
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John Cosgrove, Alex Povel·March 9, 2026AI & ML 
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.
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Landon Cox, Jiaxiao Zhou·March 9, 2026AI & ML 
GitHub Security Lab Taskflow Agent is very effective at finding Auth Bypasses, IDORs, Token Leaks, and other high-impact vulnerabilities.
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Man Yue Mo, Peter Stöckli·March 6, 2026AI & ML 
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.
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Carrie Webster·March 6, 2026AI & ML 
How Copilot code review helps teams keep up with AI-accelerated code changes.
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Ria Gopu, David Apirian·March 5, 2026AI & ML 
Here’s a first look at our speakers and how they’re interrogating craft, quality, and intention in an AI-powered world.
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Rose McLucas·March 3, 2026AI & ML 
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.
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Katie Savage·March 3, 2026AI & ML 
By Harshad Sane
NTNetflix TechBlog·March 3, 2026AI & ML 
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.
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Warnessa Weaver, Yumna·March 2, 2026AI & ML 
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.
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Ari LiVigni·February 27, 2026AI & ML 
No traffic? No problem. SimGym sends hundreds of AI shoppers through your store to simulate A/B tests. A Shopify and NVIDIA collaboration.
SEShopify Engineering·February 27, 2026AI & ML 
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.
DMDmitriy Meyerzon·February 26, 2026AI & ML 
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.
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Andrea Griffiths·February 26, 2026AI & ML 
NVNic Vargus·February 25, 2026AI & ML 
Most multi-agent workflow failures come down to missing structure, not model capability. Learn the three engineering patterns that make agent systems reliable.
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Gwen Davis·February 24, 2026AI & ML 
I've added some pretty cool AI-powered features to kentcdodds.com and I want to tell you all about it.
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Kent C. Dodds·February 24, 2026AI & ML 
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.
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Kent C. Dodds·February 24, 2026AI & ML 
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 […]
CWChris Wiltz·February 24, 2026AI & ML 
AI is rewiring developer preferences through convenience loops. Octoverse 2025 reveals how AI compatibility is becoming the new standard for technology choice.
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Andrea Griffiths·February 19, 2026AI & ML 
APAlli Pope·February 17, 2026AI & ML 
Discover GitHub Agentic Workflows, now in technical preview. Build automations using coding agents in GitHub Actions to handle triage, documentation, code quality, and more.
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Don Syme, Peli de Halleux·February 13, 2026AI & ML 
Making products like Dropbox Dash accessible to individuals and businesses means tackling new challenges around efficiency and resource use.
HBHicham Badri·February 11, 2026AI & ML 
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.
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Victoryocco·February 11, 2026AI & ML 
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.
AHAndrew Hogan·February 10, 2026AI & ML 
Learn how we built an AI Engine Optimization system to track coding agents using Vercel Sandbox, AI Gateway, and Workflows for isolated execution.

Why competitive advantage in AI comes from the platform you deploy agents on, not the agents themselves.

Think of Continuous AI as background agents that operate in your repository for tasks that require reasoning.

A six-week program to help you scale your AI company offering over $6M in credits from Vercel, v0, AWS, and leading AI platforms

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.
RKRogie King·February 4, 2026AI & ML 
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.
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Mario Rodriguez·February 4, 2026AI & ML 
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.
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Vitaly Friedman·February 3, 2026AI & ML 
A senior engineer’s guide to architecting and extending Copilot’s real-world applications.
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Ari LiVigni·February 2, 2026AI & ML 
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.
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Maria Palmieri, Sebastian Hufnagel·January 30, 2026AI & ML