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9 articles
A practical framework for measuring technical debt in concrete terms that resonate with stakeholders, using code metrics, developer velocity data, and incident correlations to justify refactoring investments.
Master pair programming across remote and in-person settings with practical techniques for driver-navigator rotations, knowledge sharing, and session structures that produce better code while avoiding the common pitfalls that make pairing feel exhausting.
Apply systematic refactoring strategies to legacy codebases using characterization tests, the strangler pattern, and incremental extraction to improve code quality without introducing regressions.
Learn practical methods for quantifying technical debt, prioritizing repayment based on business impact, and building sustainable strategies that engineering teams can actually follow.
How to build custom ESLint rules for your team's conventions — covering AST selectors, rule testing, auto-fixers, and publishing a shared plugin that enforces patterns your default linter cannot catch.
How to use Git hooks to automate code quality checks, commit message validation, pre-push tests, and branch naming enforcement — with practical examples using Husky and custom scripts.
A framework for identifying, categorizing, prioritizing, and paying down technical debt without halting feature development — using debt inventories, capacity allocation, and measurable payoff criteria.
Practical pair programming techniques that boost code quality and knowledge sharing — covering driver-navigator, ping-pong, and remote pairing workflows.
Not all clean code advice is created equal — these are the principles that genuinely reduce bugs, speed up onboarding, and survive real-world deadlines.