Deep dives into systems programming, low-level tricks, and the internals of the software we take for granted.
A step-by-step, real-world guide to moving Lighthouse scores from red to green by tackling render blocking, legacy JavaScript, LCP, forced reflow, and network dependency chains.
A deep, practitioner-first guide to making Next.js apps fast: cutting render-blockers, shrinking legacy JS, taming hydration, stabilizing LCP, and debugging forced reflow without guesswork.
Ever wondered what actually happens when you hit 'Download' on a Spotify playlist? The files on your device aren't MP3s — they're encrypted blobs that are completely useless without Spotify's blessing. Here's exactly how that works.
A deep exploration of virtual memory internals — from page table manipulation and mmap tricks to copy-on-write exploits and zero-copy I/O patterns that can 10x your program's performance.
Step-by-step construction of a production-quality memory allocator — covering free lists, coalescing, splitting, alignment, and the dark arts of sbrk and mmap.
Practical guide to using GCC/Clang inline assembly, SIMD intrinsics, and compiler built-ins to write code that extracts every last cycle from modern hardware.
How your program actually calls shared library functions at runtime — the Global Offset Table, Procedure Linkage Table, lazy binding, and why understanding this machinery is critical for security and performance.
Tracing the full lifecycle of a system call on x86-64 Linux — from the userspace wrapper through VDSO, the syscall instruction, kernel entry, dispatch tables, and the return path. With code to make raw syscalls without libc.