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Why AI-generated code creates technical debt that passes review, what it costs 6–18 months later, who pays, and six engineering controls that keep the speed.
How to build a technical debt action plan: register template, a prioritization formula, capacity and funding rules, a quarterly roadmap and a 90-day plan example.
How to explain technical debt to non-technical stakeholders: a five-minute script, a technical-to-business translation table, metrics that land, and what to avoid.
What technical debt means in Agile and Scrum, who owns it, how much sprint capacity to budget, and 8 practices that keep debt visible and paid without a debt sprint.
What technical debt really costs: research data, five cost categories, four formulas, a calculator template, a valued debt ledger, and real cases from Knight Capital to Southwest.
How to reduce technical debt without stopping delivery: prioritize by impact, allocate capacity, refactor incrementally, prevent new debt, and manage debt during tech changes.
What technical debt looks like in healthcare IT: legacy systems, unpatched infrastructure, compliance gaps — plus warning signs, a register for regulated software, fixes.
How to measure technical debt in 2026: the technical debt ratio formula, 8 code and delivery metrics, KPIs for leadership, assessment steps, and the best tools.
9 types of technical debt with concrete examples, real cases from Knight Capital to Southwest, and the practices that stop debt before it spreads through your codebase.
Why product managers should care about technical debt, who owns it, and seven practices — from a backlog lane to KPIs — that keep debt from eating the roadmap.
Technical debt explained: definition, where the term comes from, the main types and causes, how it affects your business, and how to measure and reduce it.