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Transforming React Development: The Experimental Compiler’s Approach to Memoization and Performance - JSJ 636
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Manage episode 424695273 series 1445914
Content provided by Charles M Wood. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Charles M Wood or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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.
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Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.
…
continue reading
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
Picks
- AJ - webinstall.dev
- Dan - Godzilla Minus One (2023)
Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.
706 episodes
MP3•Episode home
Manage episode 424695273 series 1445914
Content provided by Charles M Wood. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Charles M Wood or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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
Picks
Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.
…
continue reading
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
Picks
- AJ - webinstall.dev
- Dan - Godzilla Minus One (2023)
Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.
706 episodes
All episodes
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