Technical debt is the accumulated cost of shortcuts, workarounds, and deferred maintenance in a codebase. Like financial debt, it accrues interest: the longer it goes unaddressed, the more it slows future development.
AI coding agents have a complex relationship with technical debt. On one hand, agents can rapidly clear backlog items that teams have been deferring for quarters. On the other hand, agents operating without sufficient context about architectural decisions may introduce new technical debt while solving immediate problems.
The most effective approach pairs agent execution with clear architectural guidelines and human review, ensuring that speed gains don’t come at the cost of codebase health.