◇ Could this help me?
Yes. These are the four mistakes that actually cost people time and money, and the third is the one most often dismissed: a prototype with a public write endpoint is a live target regardless of how temporary it feels. The fourth is the most valuable long term, since being able to read the code is what converts an assistant from a black box into a tool you can direct. This is a general practice.
Review this project for the four failure patterns common in AI-assisted builds and report on each. First, scope: is work being requested in chunks too large to verify, and how would you break the current task down into small testable pieces. Second, version control: is history granular enough to roll back a single change. Third, security: list every publicly reachable endpoint that writes to the database and whether it has validation, authentication, and rate limiting. Fourth, comprehension: point me at the three files I most need to understand to direct this project, and walk me through what each does.