We run Apex batch jobs on a schedule, and most of the time they complete successfully. Occasionally, they fail without obvious errors or with inconsistent behavior. Rerunning the same job often works. I’m trying to understand why batch jobs behave ...
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Sandbox and production start identical, but over time behave differently. Features work in one but not the other. Tracking differences is difficult. I want to understand why this drift happens.
We have multiple triggers across related objects, each handling a specific requirement. Individually they work as expected, but together they sometimes produce inconsistent results. Debugging feels difficult because execution order isn’t obvious. I want to understand why trigger behavior becomes ...
Same logic exists in multiple places. I want to understand why.
Errors often state something failed without explaining why. Users struggle to act on these messages. I want to understand why Salesforce errors are often unclear.
Some solutions feel constrained by Salesforce’s limits and rules. I want to understand why flexibility is restricted.
After adding new fields to an Apex query, an existing LWC stopped working. The component compiled successfully, but users now see errors or missing data. The changes seemed minor, so the failure was unexpected. I want to understand why this ...
Debugging used to be simple. Now it’s hard. I want to understand why.
Each validation rule makes sense on its own, but together they sometimes block valid record updates. Users hit errors they don’t understand, especially during automated updates. It feels like rules conflict indirectly. I want to understand why this happens.
An external system integrates with Salesforce using REST APIs and works fine at first. As usage increases, failures start appearing—timeouts, partial updates, or API limit issues. Nothing major changed in the code. I want to understand why integrations degrade over ...