Mock data is super useful for testing software, but it hasn't really improved much over the years. It needs to be more flexible and easier to generate high-quality data.
Using LLMs (large language models) can be tricky for creating mock data. Instead of trying to generate everything, it’s often better to use techniques like topological sorting to keep relationships correct between data entries.
A new approach is turning to strategies like the Genesis Point Strategy, which helps create unique mock data efficiently. It shows that you can simplify processes to get good results without overcomplicating things.