Automating Technical Debt Triage in Enterprise Codebases
The iceberg beneath your code
Every software team, no matter how skilled or disciplined, accumulates technical debt. In mature enterprise codebases, this debt is less like a pile of overdue tasks and more like an iceberg — a small portion is visible above the waterline, but the bulk lurks beneath the surface, hidden from day-to-day view.
With the rise of generative AI, code volume can double overnight — yet the risk is that technical debt grows even faster, especially when new code is generated without the institutional context that experienced engineers bring to traditional code reviews.
In this article, we’ll explore how AI-powered automation can transform technical debt triage from a reactive firefighting exercise into a proactive, data-driven discipline.
Understanding technical debt
Technical debt is often compared to financial debt: you borrow a little time now by taking shortcuts, but eventually, you have to pay it back — often with...
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