Engineering Philosophy: Donald Knuth, Programming Is an Art
Donald Knuth treats programming as an art written to be read by humans. Measure before you cut, optimize only the critical 3%, and prove correctness with craft.
Engineering & CraftThoughts on design, development, AI infrastructure, and building products.
Donald Knuth treats programming as an art written to be read by humans. Measure before you cut, optimize only the critical 3%, and prove correctness with craft.
Engineering & CraftGrace Hopper built the first compiler so programs could be written in human language, made latency physical with a nanosecond wire, and fought stale dogma.
Engineering & CraftAlan Kay invented the future by changing the point of view: computing as a medium for thought, with systems built from objects communicating by messages.
Engineering & CraftEdsger Dijkstra treated simplicity as the precondition for correctness and proof as superior to testing -- elegance was not optional but the whole discipline.
Engineering & CraftBjarne Stroustrup built C++ on the zero-overhead principle: never choose between expressive code and bare-metal speed. A good abstraction costs nothing.
Engineering & CraftRich Hickey built Clojure and Datomic on one distinction: simple is not easy. Simple means un-braided, one concern per thing; easy just means familiar.
Engineering & CraftBarbara Liskov made data abstraction a programming primitive: a type is the contract it keeps, and a subtype must honor every promise its supertype makes.
Engineering & CraftTim Berners-Lee invented the web and gave it away: universality and permissionless decentralization -- anyone, anywhere can publish and link without asking.
Engineering & CraftLeslie Lamport made distributed systems a science: time is not global, causality is what is real, and you specify the design before you write the code.
Engineering & CraftGuido van Rossum built Python on one bet: code is read far more often than it is written, so the language itself should optimize for the human reading it.
Engineering & CraftLinus Torvalds defines good taste as code where the special case disappears -- the engineering conviction behind the Linux kernel, git, and \"show me the code.\
Engineering & CraftAndrej Karpathy reframed neural networks as Software 2.0 -- a stack compiled from data, not written by hand -- and taught a generation to build it from scratch.
Engineering & CraftTechnical writing published at Introl
Comprehensive hardware recommendations and cost analysis for running large language models locally.
GPU selection guide comparing NVIDIA's latest datacenter accelerators for different AI workloads.
Deep technical dive into Google's Tensor Processing Unit evolution from TPUv1 to TPUv5.
Resource sharing strategies for GPU clusters in containerized environments.
Guide to building and managing distributed AI computing with Ray framework.
Analysis of open source LLM economics and DeepSeek's competitive positioning.
Future datacenter power requirements and NVIDIA's next-generation GPU roadmap.
Small modular reactor solutions for powering next-generation AI infrastructure.
Technical analysis of DeepSeek's Multi-Head Compression architecture innovations.