ChatGPT presents a <double-edged sword> for code quality in long-term projects. It can significantly <boost initial development speed> by generating boilerplate, suggesting refactorings, or identifying simple bugs, potentially leading to more consistent and cleaner code in the short term. However, the long-term impact carries notable risks. Developers might develop an <over-reliance>, leading to a degradation of fundamental problem-solving and debugging skills essential for maintaining complex systems. Furthermore, AI-generated code, if not thoroughly reviewed, can inadvertently introduce <suboptimal patterns or security vulnerabilities> that become costly technical debt over years. The lack of deep project context means AI might suggest solutions inconsistent with the existing architecture or long-term vision, making future integrations challenging. Therefore, while AI can be a powerful assistant, maintaining <high code quality ultimately demands vigilant human oversight and critical evaluation> to prevent the accumulation of future problems. More details: https://t.me/s/novadailypl