Custom Memory Allocators
Build your own malloc and free implementations. You'll understand memory fragmentation, alignment requirements, and why memory leaks happen—because you'll create the system that manages them.
Most developers avoid low-level programming because it seems intimidating. We think that's a mistake. Understanding how memory works, how the OS manages processes, and how to write efficient concurrent code gives you an edge that high-level frameworks can't teach.
Our approach: no hand-holding, no oversimplified examples. You'll build real tools, debug segmentation faults, and understand why your programs behave the way they do. This isn't theory—it's practical knowledge that changes how you write code forever.
Forget toy projects. We focus on building functional systems that teach you how software really works at the lowest level.
Build your own malloc and free implementations. You'll understand memory fragmentation, alignment requirements, and why memory leaks happen—because you'll create the system that manages them.
Write thread-safe data structures from scratch. Learn mutex design, lock-free algorithms, and how to debug race conditions that only appear under load. Theory matters, but implementation teaches you more.
Implement schedulers, file systems, and process managers. These aren't abstract exercises—you'll see exactly how operating systems make decisions about resources and priorities.
That approach works if you want surface-level knowledge. But you'll struggle when debugging production issues or optimizing performance-critical code.
This takes longer, but you'll understand why systems behave the way they do. That knowledge stays with you for your entire career.
Start with computer architecture, memory models, and the C programming language. You'll write programs that directly manipulate memory, work with pointers, and understand compilation at a deep level. No assumptions about prior knowledge—we build everything from scratch.
Implement common structures without using libraries: linked lists, hash tables, trees, graphs. Focus on memory layout, cache efficiency, and understanding trade-offs. You'll see why certain algorithms work better in practice than theory suggests.
Build components that interact with the operating system: file I/O, process management, inter-process communication. Learn system calls, understand kernel interfaces, and see how user-space programs communicate with hardware.
Dive into concurrent programming, network protocols, or modern systems languages like Rust. Complete a substantial project that demonstrates your ability to build reliable, efficient software without relying on high-level abstractions.
I spent years writing Python and JavaScript, thinking I understood programming. This course humbled me completely. Now when I write high-level code, I actually know what's happening underneath. Debugging performance issues went from guesswork to systematic analysis. Worth every frustrating segfault along the way.
Applications are open for programs starting in the coming months. Review the curriculum, understand what's required, and decide if this approach matches what you're looking for.
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