Collaboration among multiple people doesn't necessarily lead to increased efficiency.

I've been working on a function for complex calculations recently, and it involves using Firebase Realtime Database. However, the client side accesses and operates the database directly through the SDK. Additionally, Firebase Functions also access the database, along with other related APIs.

Perhaps the team's initial workflow was intended to allow everyone to develop and test in parallel, hoping to improve efficiency through collaboration. But in reality, no one realized that the interference between processes and the time spent on validation have effectively doubled both the time and effort required.

I believe that in the age of AI, having experience often makes an individual more efficient in many situations.