In this section, we detect Stovepipe, Big Ball of Mud, and tight coupling anti-patterns, gauge their scalability impact, and apply governance to limit Salesforce org sprawl, yielding maintainable architectures.

In this section, we dissect common Salesforce security anti-patterns-misreading the shared responsibility model, equating compliance or declarative tools with protection, and resolving Spaghetti sharing architectures.

In this section we expose Salesforce data anti-patterns, from relational database assumptions to uncontrolled synchronizations and artificial intelligence misuse, then present governance and scalable modelling tactics.

In this section, we diagnose Salesforce solution-selection anti-patterns, test assumption-driven designs, and apply governance-based refactoring to eliminate code smells, ensuring scalable, maintainable architectures.

In this section, we identify Salesforce integration antipatterns, compare middleware, direct, and event-based patterns, and design lean, resilient interfaces that minimize chattiness and scale across complex system landscapes.

In this section, we diagnose delivery anti-patterns like Big-Bang Release and infrequent check-in, then apply CI/CD pipelines, architecture-aligned packaging, and rigorous unit testing to sustain predictable, high-quality deployments.

In this section, we identify overcommunication and cognitive overload, enforce clarity to resolve ambiguity, adopt standard diagrams, and integrate systematic change management for reliable, comprehensible architectural decisions.

In this section, we uncover the root causes of architectural anti-patterns, refine solution design using that insight, and craft a continuous learning plan to deepen Salesforce and broader architecture skills.