Automatic Memoization Suggestions by the Experimental Compiler

In this episode, they dive deep into the latest advancements in React with a special focus on the experimental React Compiler. Our guest speakers, Sathya Gunasekaran and Joe Savona, share their insights on how this cutting-edge tool aims to enhance performance and streamline development without disrupting existing code. They explore the goals of the React Compiler, including auto memoization, linting, and runtime optimizations, and how it plans to minimize unnecessary DOM updates. This is an in-depth discussion on subjects like referential equality, the complexities of memoization, API improvements for useEffect, and the compelling debate about whether React should introduce signals as a TC39 standard. Additionally, they discuss the potential transition for existing projects, the importance of community feedback, and the intriguing differences between React’s approach to UI as a function of state versus the signal-based model.


Stay tuned to learn about the future of React, the practical benefits of the new compiler, and the ongoing experiments that could shape how we write and optimize JavaScript with React.

Socials

• Linkedn: Sathya Gunasekaran

Picks

• AJ - webinstall.dev
• Dan - Godzilla Minus One (2023)

Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.