Salesforce

This article explains how GraphQL works inside Lightning Web Components, covering the query and mutation syntax developers need to fetch and modify Salesforce data efficiently. It walks through filtering, sorting, and pagination in queries, shows how to create, update, and delete records with mutations via executeMutation(), and details the lightning/graphql module setup with the graphql wire adapter. The piece also covers practical use cases (dashboards, record detail pages, mobile apps) and weighs GraphQL's benefits against its current limitations compared to Apex.

This article explains how to integrate Salesforce with external task and worklog tracking systems such as Weenvo. It covers the core architecture (Apex Triggers paired with Queueable Apex for asynchronous callouts), secure configuration management (Custom Metadata for IDs, Named Credentials for secrets), and the most common production issues: duplicate task creation, silent failures, and broken retries. The guide includes practical patterns for building task payloads, mapping Salesforce users to external contact IDs, handling parent-child subtasks, logging failures for observability, and implementing safe retry logic with backoff. While the examples reference Weenvo specifically, the architecture applies to any Salesforce-to-external-task-system integration.

This article explores how to replace hardcoded conditional logic in Lightning Web Components with a metadata-driven approach. Learn how Custom Metadata Types enable scalable, dynamic forms in Salesforce, reduce complexity, and improve maintainability across multiple form variations.

This article explores common challenges in Salesforce integrations caused by API limits and platform constraints. It explains how these limitations impact real-world projects and introduces a practical solution using FastAPI as an API layer. The guide covers key techniques such as caching, batching, and request optimization, helping teams build scalable, reliable, and secure integrations while reducing API usage and improving data consistency.

This article provides a practical comparison of Change Sets and Salesforce DX (SFDX), two key deployment approaches in Salesforce. It explains when each method is most effective based on team size, project complexity, and deployment frequency. The guide also covers common deployment mistakes, problematic metadata types, and strategies for transitioning from Change Sets to SFDX. By focusing on real-world scenarios, it helps teams choose the most suitable deployment approach and avoid costly errors in production.