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Why do validation rules feel correct individually but fail collectively?
Validation rules are evaluated independently but enforced together. When multiple rules assume different contexts, edge cases appear. Automation-triggered updates often expose these conflicts. The solution is consolidating logic where possible and documenting rule intent clearly.Takeaway: ValidationRead more
Validation rules are evaluated independently but enforced together. When multiple rules assume different contexts, edge cases appear. Automation-triggered updates often expose these conflicts.
See lessThe solution is consolidating logic where possible and documenting rule intent clearly.
Takeaway: Validation rules should be designed as a system, not in isolation
Why do Lightning Web Components break after adding new fields to Apex?
LWCs rely on the exact shape of the data returned by Apex. Adding fields can change serialization size, field-level security behavior, or introduce null values that weren’t handled previously. Any of these can break client-side assumptions. Another common issue is that new fields may not be accessibRead more
LWCs rely on the exact shape of the data returned by Apex. Adding fields can change serialization size, field-level security behavior, or introduce null values that weren’t handled previously. Any of these can break client-side assumptions.
See lessAnother common issue is that new fields may not be accessible to all users. When Apex runs with sharing, missing access can cause parts of the response to be empty or inconsistent.
The fix is usually adding null checks, validating permissions, and avoiding returning unnecessary fields.
Takeaway: Even small Apex changes can impact LWCs if assumptions aren’t updated.
Why do SOQL queries become harder to optimize over time?
SOQL performance depends heavily on data distribution, not just indexing. As datasets grow, even indexed fields may become less selective, especially when values are skewed. Queries that rely on optional filters or OR conditions are particularly vulnerable. Another factor is query evolution. Over tiRead more
SOQL performance depends heavily on data distribution, not just indexing. As datasets grow, even indexed fields may become less selective, especially when values are skewed. Queries that rely on optional filters or OR conditions are particularly vulnerable.
See lessAnother factor is query evolution. Over time, new conditions are added to satisfy business logic, often without reevaluating selectivity or execution plans. This gradually degrades performance.
Long-term optimization often requires revisiting data models, using skinny tables where appropriate, or redesigning how data is queried rather than tweaking individual queries.
Takeaway: SOQL optimization is an ongoing process that must evolve with data growth.
Why do Salesforce Flows behave differently for admins and standard users?
This difference is usually caused by user context and permissions. Even though Flows can run in system context, they still respect field-level security and sometimes record-level access, especially in screen Flows. Admins typically have full access, which hides these issues during testing. Another fRead more
This difference is usually caused by user context and permissions. Even though Flows can run in system context, they still respect field-level security and sometimes record-level access, especially in screen Flows. Admins typically have full access, which hides these issues during testing.
See lessAnother factor is that referenced records or lookup relationships may not be visible to standard users. When a Flow tries to read or update something the user can’t access, the logic may silently skip or fail without a clear error.
The safest approach is to test Flows using real user profiles and explicitly configure run context.
Takeaway: Always test Flows with the same permissions your end users have.
Why do Lightning Web Components feel slower as data volume increases?
The slowdown usually comes from server-side data handling rather than the UI itself. Large SOQL queries, excessive serialization, and returning unnecessary fields all increase response time. On the client side, rendering large data structures or repeatedly re-rendering components also adds overhead.Read more
The slowdown usually comes from server-side data handling rather than the UI itself. Large SOQL queries, excessive serialization, and returning unnecessary fields all increase response time. On the client side, rendering large data structures or repeatedly re-rendering components also adds overhead.
Most teams solve this by limiting queried fields, adding pagination, caching results, and ensuring Apex methods are purpose-built for UI consumption.
See lessTakeaway: LWC performance issues usually start in Apex, not JavaScript.