Plausible Code Is the New Technical Debt

📰 Dev.to AI

AI-generated code introduces human factors problems, such as trust and maintenance, into the development workflow

intermediate Published 2 Apr 2026

Action Steps

Evaluate the trade-offs between using AI-generated code and manual coding
Develop strategies for validating and verifying AI-generated code
Establish guidelines for maintaining and updating AI-generated codebases
Consider the long-term implications of AI-generated code on technical debt and system complexity

Who Needs to Know This

Developers, product managers, and DevOps teams benefit from understanding the implications of AI-generated code on their workflow and codebase maintenance, as it affects the overall reliability and efficiency of the system

Key Insight

💡 The hardest part of using AI-generated code is not generating it, but deciding what to trust, what to delete, and what to maintain