Demo orgs usually assume perfect data, linear flows, and cooperative users.Production orgs rarely behave this way once real pressure, volume, and edge cases appear.Many Salesforce issues surface only after go-live, not during demos.
Decode Trail Latest Questions
The scan reports issues in libraries that aren’t referenced in our code.These appear to be transitive dependencies pulled in automatically.I’m unsure whether these should still be treated as real risks.
failing Field type change
Many Salesforce teams begin solutioning by listing objects, fields, and relationships.While technically correct, this approach often misses how work actually flows across users and systems.The result is a build that looks structured but feels disconnected in daily use.
Data was clean initially, but inconsistencies have crept in. Fields mean different things across records. Reports are harder to trust. I want to understand why this happens.
Too many SOQL queries: 101
