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AI's impact on technical debt: from code to lost judgment

Technical debt is evolving significantly due to the rapid advancement and integration of AI. In the near term, unexamined AI-generated code poses a risk, as developers may not fully trust or always verify it, leading to hidden issues that slow down future updates. In about five years, AI agents will manage systems, but they will inherit existing technical debt, such as fragmented systems and undocumented logic, potentially delaying projects and creating dependencies that are difficult to understand or replace. Looking twenty years ahead, the primary form of technical debt may become the loss of human judgment and institutional knowledge embedded within AI systems, making it challenging to understand, govern, or challenge critical decisions. AI

IMPACT AI's rapid code generation and agentic capabilities are fundamentally reshaping the nature of technical debt, shifting it from hardware and legacy code to unexamined AI outputs and lost human judgment.

RANK_REASON The item discusses the evolving nature of technical debt in the context of AI, offering analysis and predictions rather than reporting a specific event.

Read on Forbes — Innovation →

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AI's impact on technical debt: from code to lost judgment

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The item discusses the evolving nature of technical debt in the context of AI, offering analysis and predictions rather than reporting a specific event.
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COVERAGE [1]

  1. Forbes — Innovation TIER_1 English(EN) · Atul Sabharwal, Forbes Councils Member ·

    What Will Technical Debt Look Like In One, Five And 20 Years In The Age Of AI?

    The risk is that AI is writing so much code that review, testing and governance lag behind.