When Every Experiment Needs Its Own Database
· 8 min read
Software is starting to work at a different rhythm.
A developer may test one idea at a time, but an AI agent can explore several possible solutions in parallel. One path may try a schema migration. Another may rewrite some data. A third may reproduce a bug using a different sequence of events.
Each path needs a database that feels real, but none of them should be allowed to damage the shared starting point.
This is where database branching becomes more than a convenient development feature. It becomes a practical way to give every experiment a safe place to work.