Stop relying on the CPU. WebGPU offloads massive computations to the GPU, making your web apps orders of magnitude faster.
#1about 7 minutes
The shifting economics of AI developer tools
AI tool pricing is moving from flat-rate subscriptions to pay-as-you-go token models, forcing developers to reconsider their usage.
#2about 4 minutes
The strategic value of standardized job titles
Using standard job titles like "senior developer" instead of creative ones like "code ninja" provides clear signals for salary, seniority, and career progression.
#3about 3 minutes
Questioning the complexity of modern frontend development
The frontend ecosystem has evolved from simple static pages to complex build toolchains, prompting a return to simpler solutions like web components.
#4about 19 minutes
Exploring useful datasets, tools, and web curiosities
A tour of interesting resources including the Git Skills learning platform, government datasets, and UI helpers like CodePen slide bars and Dot UI.
#5about 5 minutes
Analyzing the performance of government websites worldwide
A review of a study on government website performance reveals that simplicity and server-side rendering often outperform complex client-side frameworks.
#6about 5 minutes
Demonstrating massive performance gains with WebGPU
A live demo showcases how WebGPU can render hundreds of thousands of interactive particles smoothly, far surpassing the capabilities of traditional Canvas 2D.
#7about 3 minutes
Integrating WebAssembly and WebGPU into a React app
A code walkthrough shows how to incrementally add WebAssembly modules compiled from Rust and WebGPU shaders into an existing React application.
#8about 10 minutes
Understanding WebGPU browser support and ideal use cases
WebGPU is now supported in major browsers but requires fallbacks for some clients, making it ideal for parallel computations on large datasets rather than simple rendering tasks.
Related jobs
Jobs that call for the skills explored in this talk.
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