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title: Best ThePrimeTime posts — July 2025 | daily.dev
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og:title: Best ThePrimeTime posts — July 2025 | daily.dev
og:description: The most upvoted ThePrimeTime posts from July 2025, curated by the daily.dev community.
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# Best of ThePrimeTime — July 2025

1. 1  
[](https://daily.dev/posts/i-m-switching-languages-again--ccq4qjklc "I'm switching languages again...")  
Video  
![Avatar of primeagen](https://media.daily.dev/image/upload/s--J5-GjDeo--/f_auto/v1704628081/logos/primeagen.jpg)ThePrimeTime · 1y  
I'm switching languages again...  
A developer shares their experience learning Elixir, highlighting two key features that attracted them to the language: pattern matching in function definitions and the 'with' construct for error handling. They demonstrate how Elixir's pattern matching allows for declarative programming by defining multiple function clauses that match different input patterns, eliminating the need for complex if-else chains. The 'with' construct is praised for its ability to chain operations cleanly while handling errors gracefully, similar to promise chains but with pattern matching capabilities. The developer compares Elixir favorably to Rust and Go, noting that while Rust has pattern matching, it lacks function overloading, and that Rust becomes inconvenient at higher complexity levels.  
89  
1
2. 2  
[](https://daily.dev/posts/wtf-typescript-3oi4gcf3v "WTF Typescript")  
Video  
![Avatar of primeagen](https://media.daily.dev/image/upload/s--J5-GjDeo--/f_auto/v1704628081/logos/primeagen.jpg)ThePrimeTime · 1y  
WTF Typescript  
A deep dive into TypeScript's quirky behaviors and advanced features, covering excess property checks, enum inconsistencies between string and numeric values, type narrowing issues with array filtering, object type differences, and performance optimization challenges in large codebases. The discussion explores why developers often prefer const objects over enums, demonstrates TypeScript's Turing completeness through complex type-level programming, and highlights the difficulties of debugging TypeScript compiler performance bottlenecks.  
72  
5
3. 3  
[](https://daily.dev/posts/chess-is-an-mmo-now--bfru1lohd "Chess is an MMO now?")  
Video  
![Avatar of primeagen](https://media.daily.dev/image/upload/s--J5-GjDeo--/f_auto/v1704628081/logos/primeagen.jpg)ThePrimeTime · 1y  
Chess is an MMO now?  
A developer built a massive multiplayer chess game with 1 million boards running on a single Go process. The system handles 150,000+ players making 15+ million moves using optimized protocols, rollback netcode, and smart data distribution. Key technical achievements include using Protocol Buffers for efficient serialization, implementing optimistic client updates with conflict resolution, and managing concurrent access with read/write mutexes. The architecture demonstrates how far you can scale with simple approaches like big arrays and mutexes, while highlighting the complexity of real-time multiplayer game state synchronization.  
32
4. 4  
[](https://daily.dev/posts/pewdiepie-is-more-based-than-you-ooryoeaaf "PewDiePie is more based than you")  
Video  
![Avatar of primeagen](https://media.daily.dev/image/upload/s--J5-GjDeo--/f_auto/v1704628081/logos/primeagen.jpg)ThePrimeTime · 1y  
PewDiePie is more based than you  
PewDiePie demonstrates his complete transition away from Google services by switching to Arch Linux, installing GrapheneOS on his phone, and self-hosting alternatives like Vaultwarden for passwords and NextCloud for file storage. He shares his journey of setting up various open-source tools on a Raspberry Pi and Steam Deck, highlighting both the benefits of increased privacy and control, as well as the technical challenges involved in degoogling one's digital life.  
18  
1
5. 5  
[](https://daily.dev/posts/why-is-the-rust-compiler-so-slow--zh9fkfcg0 "Why is the Rust Compiler So SLOW?")  
Video  
![Avatar of primeagen](https://media.daily.dev/image/upload/s--J5-GjDeo--/f_auto/v1704628081/logos/primeagen.jpg)ThePrimeTime · 1y  
Why is the Rust Compiler So SLOW?  
A deep dive into why Rust compilation is slow, particularly in Docker environments. The investigation reveals that LLVM optimizations, especially link-time optimization (LTO) and function inlining, consume most compilation time. Through profiling tools and trace analysis, the author discovers that async functions and closures significantly impact build times due to their complex state machine implementations. Various optimization strategies are explored, including reducing LLVM inlining thresholds, breaking up large async functions, enabling shared generics, and switching from Alpine to Debian base images, ultimately reducing build times from 175 seconds to under 10 seconds.  
15  
2
6. 6  
[](https://daily.dev/posts/software-is-changing-again---andrej-karpathy-yzpzh82b2 "Software Is Changing (Again) - Andrej Karpathy")  
Video  
![Avatar of primeagen](https://media.daily.dev/image/upload/s--J5-GjDeo--/f_auto/v1704628081/logos/primeagen.jpg)ThePrimeTime · 1y  
Software Is Changing (Again) - Andrej Karpathy  
Andrej Karpathy presents his framework for understanding the evolution of software through three paradigms: Software 1.0 (traditional code), Software 2.0 (neural networks), and Software 3.0 (LLM prompts). He argues that LLMs function like new operating systems with unique properties including encyclopedic knowledge, cognitive deficits like hallucination, and jagged intelligence. The talk explores how LLMs differ from traditional technology adoption patterns by reaching consumers first, and discusses opportunities in partial autonomy applications while acknowledging current limitations around context windows, security risks, and the challenges of programming these stochastic systems.  
14

[See all ThePrimeTime archives](/sources/primeagen/best-of)

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