Engineering expert discusses risks and boundaries of AI-driven code refactoring

On November 11, 2026 at 09:52, DEV Community published an article by engineering expert Aaron Beals examining whether using AI to refactor an existing codebase is genuinely viable, and what risks and boundaries surround that practice. Beals notes that for years, rewriting an existing codebase from scratch was considered one of the riskiest decisions an engineering team could make. As to whether AI is changing that calculus, or merely making teams more prone to underestimating the risks, the article's answer is both. Specifically, in the hands of an excellent engineering team that knows what it wants, knows what great looks like, and knows how to build guardrails for AI, the risk-reward calculus is indeed shifting. In teams weaker in engineering excellence, or operating under incredible pressure, however, blindly refactoring with AI remains highly prone to losing control. That is as far as the record currently extends, with no follow-up developments reported.