Osmani A Web Performance Engineering in the Age of AI 2026 | 12.68 MB
Title: Web Performance Engineering in the Age of AI
Author: Addy Osmani
Description:
On today’s web, performance isn’t just a nice-to-have-it’s essential. A slow or unstable experience drives users away, while a fast, reliable one builds trust and keeps them engaged. Web Performance Engineering in the Age of AI is a comprehensive, hands-on guide for developers, technical leads, and performance engineers focused on delivering high-impact, user-first web experiences. Written by Addy Osmani, director at Google Cloud AI, this book combines deep technical insight with a strong emphasis on usability and real-world effectiveness.
Through case studies, modern optimization techniques, and a user-centered approach, you’ll learn how to identify bottlenecks, debug performance issues, and apply improvements that make a measurable difference. Grounded in current browser internals and performance metrics, this book prepares you to design and maintain faster, more resilient websites at scale.
On today’s web, performance isn’t just a nice-to-have-it’s essential. A slow or unstable experience drives users away, while a fast, reliable one builds trust and keeps them engaged. Web Performance Engineering in the Age of AI is a comprehensive, hands-on guide for developers, technical leads, and performance engineers focused on delivering high-impact, user-first web experiences. Written by Addy Osmani, director at Google Cloud AI, this book combines deep technical insight with a strong emphasis on usability and real-world effectiveness.
Through case studies, modern optimization techniques, and a user-centered approach, you’ll learn how to identify bottlenecks, debug performance issues, and apply improvements that make a measurable difference. Grounded in current browser internals and performance metrics, this book prepares you to design and maintain faster, more resilient websites at scale.
- Understand how users perceive speed-and why it matters
- Evaluate and improve performance using key metrics
- Optimize for stability, responsiveness, and load time
- Identify and address the most common performance bottlenecks
- Apply real-world strategies that lead to lasting results
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