Choosing an AI builder that actively tests its code prior to implementation is a prudent decision. This methodology ensures higher reliability by identifying bugs or errors earlier in the development process, thereby reducing the risk of deploying faulty code. This approach not only enhances the quality and stability of the software but also significantly improves user trust and overall satisfaction. Furthermore, employing a system that validates its code can lead to more efficient and streamlined maintenance, as issues are resolved proactively rather than reactively. Overall, using an AI builder that rigorously tests its code is a strategic choice that aligns with best practices in software development and project management.