Initially, our sharing model was straightforward and easy to explain. As more roles, teams, and exceptions were added, it became difficult to predict who can see what. Even admins struggle to explain access behavior now. I want to understand why ...
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We started with a few simple record-triggered Flows, and they worked well initially. Over time, more conditions, paths, and updates were added to handle new requirements. Now debugging and updating these Flows feels risky and time-consuming. I’m trying to understand ...
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 ...
Our reports were accurate when the org was simple, but over time they’ve started giving inconsistent or confusing results. Multiple formula fields, record types, and automation now influence the same data. Different users also report seeing different numbers. I’m trying ...
Records update repeatedly without obvious loops. I want to understand why recursion happens.
SOQL queries are often scattered across controllers and services.This duplication increases maintenance effort and security risks.Centralizing access simplifies long-term management.
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.
Demo orgs usually assume perfect data, linear flows, and cooperative users.Production orgs rarely behave this way once real pressure, volume, and edge cases appear.Many Salesforce issues surface only after go-live, not during demos.