Custom Metadata is often used to externalize configuration from code.However, it struggles when logic involves multiple conditions and outcomes.This limitation becomes visible as rule complexity increases.
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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?
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.
In single-org projects, small shortcuts often feel harmless and efficient.When the same solution must work across many orgs, those shortcuts quickly become liabilities.This transition forces a deeper level of architectural discipline.
Salesforce business logic often changes as policies, SLAs, and products evolve.Maintaining these changes through Apex or Flow can become slow and deployment-heavy.Teams need a way to adapt decision logic without constant code updates.
We noticed that a Flow works correctly when tested as an admin, but behaves differently or fails for standard users. Sometimes records aren’t updated, or certain paths don’t execute at all. There are no obvious errors shown to users. I ...
Once a customer agrees verbally, teams often assume the deal is complete.In reality, pricing approval, confirmation, and payment are distinct business events.Merging them can create confusion across finance and sales teams.
Controllers are often overloaded with logic in traditional Apex code.This creates tight coupling between UI and business rules.A cleaner approach requires a clear boundary.
Some queries that were once fast are now approaching timeout limits. Indexes exist, but performance gains are inconsistent. As more filters and joins are added, tuning becomes difficult. I want to understand why SOQL optimization gets harder at scale?
Business rules often change more frequently than UI or database structure.Mixing them elsewhere makes updates risky and slow.A dedicated layer helps control complexity.