959: TypeScript on the GPU with TypeGPU creator Iwo Plaza

Scott and CJ sit down live at JSNation NYC with Iwo Plaza, creator of TypeGPU, to dig into how WebGPU is unlocking a new wave of graphics and compute power on the web. They chat about shader authoring in TypeScript, the future of GPU-powered AI in the browser, and what it takes to build a killer developer-friendly graphics library.

Show Notes

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00:00 Welcome to Syntax!

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00:32 What is TypeGPU? High-level overview and why it exists

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01:20 WebGPU vs WebGL – the new era of GPU access on the web

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01:47 Why shader languages are hard + making them accessible

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02:24 Iwo’s background in C++, OpenGL, and discovering JS

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03:06 Sharing graphics work on the web vs native platforms

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03:29 WebGPU frustrations that inspired TypeGPU

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04:17 Making GPU–CPU data exchange easier with Zod-like schemas

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05:01 Writing shaders in JavaScript + the unified type system

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05:38 How the “use_gpu” directive works under the hood

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06:05 Building a compiler that turns TypeScript into shader code

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07:00 Type inference, primitives, structs, and TypeScript magic

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08:21 Leveraging existing tooling via Unplugin + bundler integration

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09:15 How TypeGPU extracts ASTs and generates TinyEST metadata

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10:10 Runtime shader generation vs build-time macros

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11:07 How the AST is traversed + maintaining transparency in output

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11:43 Example projects like Jelly Shader and community reception

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12:05 Brought to you by Sentry.io (sentry.io/syntax)

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12:30 Does TypeGPU replace 3JS? How it fits the existing ecosystem

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13:20 Low-level control vs high-level abstractions

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14:04 Upcoming Three.js integration – plugging TypeGPU into materials compute shaders

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15:34 Making GPU development more approachable

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16:26 Docs, examples, and the philosophy behind TypeGPU documentation

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17:03 Building features by building examples first

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18:13 Using examples as a test suite + how docs shape API design

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19:00 Docs as a forcing function for intuitive APIs

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20:21 GPU for AI – browser inference and future abstractions

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21:11 How AI examples inform new libraries (noise, inference, etc.)

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21:57 Keeping the core package small and flexible

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22:44 Building “TypeGPU AI”-style extensions without bloating the core

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23:07 The cost of AI examples and building everything from scratch

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23:41 Standard library design and future of the ecosystem

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24:04 Closing thoughts from Iwo – OSS, GPU renaissance, and encouragement

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24:34 Sick Picks & Shameless Plugs

Sick Picks

• Iwo: Perogies

Shameless Plugs

• Iwo: Syntax Podcast

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