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How Netflix Uses Java - 2025 Edition

- Paul Bakker tl;dr: “In this talk, you’ll learn how Netflix is using Java in 2025 and what benefits and possible issues we’re seeing running most of our services on the latest Java releases. You’ll learn about how we build our services with Spring Boot, DGS/GraphQL, and gRPC. We’ll go into dependency management and how we keep over 3000 Java services on the latest versions of frameworks and libraries, as well as the JDK itself.”

featured in #615

TypeScript Types Can Run DOOM

tl;dr: The project involved 3.5 trillion lines of types, totaling 177 terabytes, and took 12 days of continuous processing to render the first frame. It was a year-long journey of 18-hour days, requiring custom tools, thousands of tests, and deep programming knowledge. The result is likely the largest TypeScript codebase ever created.

featured in #595

Auto-Translating Videos to 130+ Languages

tl;dr: Ever wished you could dub videos as easily as you translate text? Rask AI's new API handles everything – transcription, translation, dubbing, and even lip-syncing – in a single integration. Tech teams love how simple it is! Want to see it in action? Book a demo this week and grab a $500 welcome bonus, exclusively for Pointer readers. Check out the docs or get your free demo! See Rask AI in action.

featured in #572

Why Can't We Make Simple Software?

- Peter van Hardenberg tl;dr: Peter explores why creating truly simple software remains an elusive goal. Through examples ranging from defensive coding to scaling challenges, he illustrates how complexity isn't just about technical difficulty - it's an inevitable result of systems interacting, evolving user needs, and organizational dynamics. 

featured in #572

Why Can't We Make Simple Software?

- Peter van Hardenberg tl;dr: Peter explores why creating truly simple software remains an elusive goal. Through examples ranging from defensive coding to scaling challenges, he illustrates how complexity isn't just about technical difficulty - it's an inevitable result of systems interacting, evolving user needs, and organizational dynamics. 

featured in #571

The Core Challenges of Principal Engineering

- Will Larson tl;dr: In this 20 minute video presentation, Will discusses the under-defined and ambiguous role of Principal Engineers. He defines them as engineers who solve ambiguous, company-wide problems that would otherwise block engineering executives.

featured in #570

I Rebuilt The VisionOS From Scratch

- Steven Gong tl;dr: “I built a clone of the Apple Vision Pro OS to better learn how it works under the hood. In this video, I build a visual SLAM system from scratch to track the orientation of the headset.”

featured in #522

Deep Dive into XZ Utils Backdoor

- Denzel Farmer tl;dr: “This lecture will explore implementation details of the XZ Utils backdoor and describe the novel multi-year effort to put it in place–along with its consequences for the larger world of open source software development.”

featured in #514

Saving 45% On Streaming Costs

tl;dr: SlashedCloud's video encoding solution offers AV1 and H.265 at a fraction of the cost compared to anything available online, making it a cost-saver for your business. Save up to 45% on your streaming bandwidth bill and improve your user experience with faster and higher quality streaming. 

featured in #502

Let's Build The GPT Tokenizer

- Andrej Karpathy tl;dr: “In this lecture we build from scratch the Tokenizer used in the GPT series from OpenAI. In the process, we will see that a lot of weird behaviors and problems of LLMs actually trace back to tokenization. We'll go through a number of these issues, discuss why tokenization is at fault, and why someone out there ideally finds a way to delete this stage entirely.”

featured in #491