Single-class Apex often feels faster when building small features.Over time, logic, SOQL, DML, and UI handling get tightly coupled.This makes the codebase fragile and difficult to extend?
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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.
We fix the reported findings, but similar issues keep returning.Each test feels like starting over again.I’m trying to understand why progress feels stalled.
I trained an LSTM for next-word prediction on text data.The training loss decreases normally.But when I generate text, it repeats the same token again and again.It feels like the model is ignoring the sentence.
Business rules often evolve gradually rather than changing all at once.Testing new logic without disrupting live processes is critical.Traditional Apex-based approaches make this risky.
