Big-O Complexity, Explained With Real Code
What Big-O actually measures, with concrete code through O(2ⁿ), the log(n) intuition, common misconceptions, and how to analyze your own functions fast.
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10 articles
What Big-O actually measures, with concrete code through O(2ⁿ), the log(n) intuition, common misconceptions, and how to analyze your own functions fast.
Stop memorizing complexity tables — pick data structures from what your code does: lookups, ordering, uniqueness, priority, mapped to the right choice.
How professional code review works — PRs people want to review, feedback about code not people, and taking critique without ego.
Why tutorial clones don't get interviews — what hiring managers scan for, five project archetypes that show skill, and presenting work so it's read.
An honest 6–12 month path to your first programming job — skill sequencing, building proof, applying strategically, and evaluating offers when they arrive.
The mental model behind Rust's ownership — moves, borrows, lifetimes — via what the compiler protects you from, with interview-ready examples.
From wallet signature to finality — mempools, gas, validators, and confirmations, plus why transactions fail and what fees truly pay for.
A framework for choosing in 2026 — what native, cross-platform, and progressive web apps genuinely cost and deliver, matched to team and distribution needs.
A survival system for inherited and open-source code — run before reading, follow the data, use tests as maps, make throwaway changes, then ask.
The most deployed database in history runs your phone, browser, and servers — how SQLite's design aged into superpowers, and where it fits.
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