An LWC works perfectly in sandbox, but in production it occasionally fails without showing meaningful errors. Users just see a broken component or missing data. Debugging is difficult because there’s no visible stack trace. I’m trying to understand why this ...
Decode Trail Latest Questions
Our integration uses upsert logic, but duplicates still appear occasionally. External IDs are configured, and the payload looks correct. The duplicates are rare but disruptive. I want to understand why this still happens.
Deployments move metadata, not configuration completeness. Permission sets, licenses, feature toggles, and org-level settings are often excluded. As a result, deployed features may exist but remain inaccessible or inactive.
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.
When the org was smaller, record saves were nearly instant, but over time users started noticing delays. Each save now takes several seconds, especially on heavily automated objects. Nothing is outright failing, but performance has clearly degraded. I want to ...
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.
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 ...
Reports that once loaded quickly now take several seconds or time out completely. This is especially noticeable for summary and joined reports. The report definitions haven’t changed much, but data volume has grown significantly. I want to understand what causes ...