Revealed: React's experimental animations API

Since its inception over 12(!) years ago, there's been a glaring animation-sized hole in React's API. Over the year its closest competitors like Vue and Svelte have introduced APIs that, while not extensive, still make animations a little easier.

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Five years of React Native at Shopify

Five years ago, we announced that React Native (RN) is the future of mobile at Shopify. Today, we are excited to share the progress we've made, lessons learned, and what the future holds. Over the past 5 years, we have migrated all our apps to React Native.

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Introducing TanStack Start

The best way to think about TanStack Start is that it’s a thin server layer atop the TanStack Router we already know and love; that means we don’t lose a single thing from TanStack Router.

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Things we learned about LLMs in 2024

A lot has happened in the world of Large Language Models over the course of 2024. Here’s a review of things we figured out about the field in the past twelve months, plus my attempt at identifying key themes and pivotal moments. This is a sequel to my review of 2023.

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Refactoring with Codemods to Automate API Changes

Refactoring is something developers do all the time—making code easier to understand, maintain, and extend. While IDEs can handle simple refactorings with just a few keystrokes, things get tricky when you need to apply changes across large or distributed codebases, especially those you don’t fully control.

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5 tips to effectively optimize INP in React

In this post, let’s consider several optimization techniques for improving Core Web Vitals metrics for sites that are built with React. We are a team of speed consultants from the Czech Republic and in this article we would like to share some experiences from the many front-end performance optimizations we did for our clients.

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Building effective agents

Over the past year, we've worked with dozens of teams building large language model (LLM) agents across industries. Consistently, the most successful implementations weren't using complex frameworks or specialized libraries. Instead, they were building with simple, composable patterns.

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