Based on my research, here are the best sources for deep technical content beyond AI hype: ## **Top Technical Blogs & Resources** ### **Systems Programming & Low-Level Engineering** - **Andrew Healey** - Programming languages, compiler design, systems programming, performance optimization - **Andrew Kelley (Zig Software Foundation)** - Zig language development, modern systems programming - **Matt Warren** - Deep technical analysis of .NET runtime, C# internals, performance - **Michal Strehovsky** - .NET runtime engineering, low-level programming, bflat compiler - **Phil Eaton** - Databases, Postgres internals, systems engineering deep dives ### **Classic Engineering Blogs from Major Tech Companies** - **Meta Engineering Blog** - Infrastructure systems, core infra, data infrastructure, production engineering - **Netflix TechBlog** - Systems programming, performance optimization, engineering at scale ### **Specialized Technical Resources** - **Rust Systems Programming** - Memory safety, performance, zero-cost abstractions for kernel development - **Low-Level Programming Blogs** (alldevblogs.com) - Curated collection of systems programming content - **GitHub Topics: Low-Level Programming** - C/C++, Rust, Zig toolchains, compilers, debuggers, profilers ### **Deep Technical Content Sources** - **Rob Pike (Go language creator)** - Software engineering philosophy, complexity, system design - **Drew DeVault** - Open source commentary, programming languages, software engineering ethics - **Gunnar Morling (Java Champion)** - Java, data streaming, open-source software engineering ### **Performance & Optimization Focus** - **The Art of Optimizing Low-Level Code** - SIMD instructions, cache optimization, multi-threading - **Low-Level Code Engineering** - Memory management, assembly language, optimization strategies These sources focus on substantive technical discussions about systems programming, performance optimization, compiler design, and low-level engineering rather than AI hype. The content ranges from beginner to expert level, with many resources providing deep dives into specific technical domains.