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AI makes tech debt more expensive
AI increases the penalty for low quality code
While genAI is improving dramatically in some sense (multi-modal, faster, smaller, cheaper), this barrier has so far proven more stubborn, with o1 seeing relatively low adoption and multi-agent frameworks failing to significantly scale reasoning capabilities. When direct refactoring is still too risky, teams can adjust their development strategy with approaches like strangler fig to build greenfield modules which can benefit immediately from genAI tooling. Investment into modular architecture lets teams take full advantage of generative AI tools, achieving rapid feature development while simultaneously building higher quality software.
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