How a simple, low-friction debug ledger transforms messy coding sessions into a clear, searchable trail of decisions, experiments, and fixes—improving maintainability, speeding up debugging, and building a long-term knowledge base.
Discover a practical two-notebook system for programmers that separates build notes from learning notes, turning your coding journal into a powerful tool for growth, problem-solving, and long-term retention.
How to use tiny, focused single-bug exercises as a daily practice bench to systematically sharpen your debugging instincts and become a calmer, faster problem-solver.
How to turn mysterious production failures into clear, traceable stories using a one-page error autopsy powered by delta debugging, Saff Squeeze, causality tracking, and trace IDs.
How to use 90-minute, time-boxed coding experiments (“spikes”) to cut through confusion, reduce risk, and make consistent technical progress without burning out.
Error messages can feel scary and confusing, but they’re actually one of your most powerful debugging tools. Learn how to read, interpret, and use them systematically—instead of fearing them—to become a more confident, effective developer.
How to design an interrupt-resistant workday with tiny guardrails that protect 2+ hour deep work blocks from Slack, email, and meetings—without becoming a bad teammate.
How turning stack traces into visual sketches can transform your debugging process, especially for weird, intermittent, and “impossible” bugs.
How to transform every nasty bug and late-night incident into a reusable debugging playbook using structured post-mortems, systems thinking, and a searchable notebook that compounds in value over time.
How to build a simple, systematic “debug notebook” and habits that train your brain to recognize recurring bug patterns—saving hours of time and preventing regressions before they ever hit production.