
Technical Debt: Making the Business Case for Refactoring
A practical framework for measuring technical debt in terms stakeholders accept: code metrics, developer velocity data and incident correlations.
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9 articles

A practical framework for measuring technical debt in terms stakeholders accept: code metrics, developer velocity data and incident correlations.

Pair programming remote and in person: driver-navigator rotations, knowledge sharing and session structures that avoid making pairing exhausting.

Systematic refactoring strategies for legacy codebases: characterization tests, the strangler pattern and incremental extraction, without regressions.

Practical methods for quantifying technical debt, prioritizing repayment by business impact and building strategies teams will actually follow.

How to build custom ESLint rules for your team's conventions: AST selectors, rule testing, auto-fixers and publishing a shared plugin.

How to use Git hooks to automate quality checks, commit message validation, pre-push tests and branch naming — with Husky and custom scripts.

A framework for identifying, categorizing, prioritizing and paying down technical debt without stalling features: inventories, capacity and 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.