In Salesforce, your Apex code must handle anywhere from 1 to 200 records per transaction — all while coexisting with flows, triggers, and other automation. Two foundational principles make this possible: Bulkification — designing logic that efficiently processes lists of records without hitting governor limits. Mixed DML and lock awareness...
In Salesforce Apex, triggers are incredibly powerful — but without structure, they can spiral into chaos fast.To keep your automation clean, scalable, and predictable, follow three cornerstone practices: One trigger per object A trigger handler pattern Recursion guards Together, these principles make your code easier to debug, safer to scale,...
Fast, reliable Apex leans on three pillars: relationship queries, aggregate SOQL, and thoughtful subqueries—while steering clear of N+1 patterns. Nail these and your code stays bulkified, selective, and governor-limit friendly. Relationship SOQL (child → parent): follow lookups with dot notation Concept: Pull fields from a parent record in the same...
Introduction Salesforce is multi-tenant at its core: many customers share the same runtime, database fabric, and services, while each org’s data and metadata stay logically isolated. To keep this shared environment fast and fair, Salesforce enforces governor (trust) limits—caps on resource usage at the transaction and org level. With Hyperforce,...
