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cellperformance.beyond3d.com
| | albocoder.github.io
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| | [AI summary] This blog post details the process of using static analysis with LLVM bitcode to identify the slab cache for kernel objects in the Linux kernel.
| | blog.lohr.dev
5.8 parsecs away

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| | A review by a Rust enthusiast
| | macoy.me
5.4 parsecs away

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| | [AI summary] This is a comprehensive overview of Cakelisp, a programming language designed to enhance developer productivity while maintaining high performance. The language combines powerful code generation, modification, and a built-in build system to streamline the development process. It emphasizes trust in the developer's ability to create programs efficiently, while also providing tools for complex project management and optimization.
| | nurkiewicz.com
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| When choosing or learning a new programming language, type system should be your first question. How strict is that language when types don't really match? Will there be a conservative, slow and annoying compiler? Or maybe a fast feedback loop, often resulting in crashes at runtime? And also, is the language runtime trusting you know what you are doing, even if you don't? Or maybe it's babysitting you, making it hard to write fast, low-level code? Believe it or not, I just described static, dynamic, weak and strong typing.