What’s more dangerous: slow coding or fast bad code? @ vilojona tackles the real problem behind # AI -assisted development: speed without confidence. These 7 ha
The article discusses the potential dangers of AI-assisted development, specifically focusing on the risk of generating fast but low-quality or insecure code. It highlights that the real challenge lies not in the speed of AI coding tools, but in ensuring the confidence and quality of the output. The piece offers seven habits for Java teams to maintain code quality, security, and maintainability when using AI development tools. AI
IMPACT AI coding tools may accelerate development but introduce risks of poor quality code, requiring new practices for maintaining confidence and security.