Grieving the Loss of Details

A programmer recounts growing up obsessed with how machines work, tracing that curiosity from a childhood fascination with retro computing scenes to years of low-level hacking: learning Linux, building a toy OS, hand-writing machine code, counting cycles, and squeezing performance out of compilers and parsers. The writing emphasizes a self-image as a detail-obsessed coder rather than a high-level architect - someone who delights in knowing assembly, pointer provenance, allocation behavior, and the nitty-gritty of CPUs (worrying about ARM64 versus x86, JIT disassembly, Python allocations). Deep understanding is portrayed as a mode of thinking that extends beyond code into physics, cooking chemistry, and even personal life.

The core argument is that industry trends and powerful LLMs have eliminated the need for that kind of expertise, shifting value toward architectural abstraction and automated optimization. LLMs that find hot loops, explain pointer issues, or learn a codebase undermine roles centered on painstaking detail work. The author cannot adapt to large, abstract projects or delegate trust to LLMs, has sworn off using them for meaningful work, and now faces professional and emotional consequences - dwindling job prospects, loss of community spaces that appreciated low-level craft, and the erosion of hobbyist joy as retrocomputing attracts attention-seeking LLM users.