A Salesforce instance built incrementally, one requirement at a time, looks fine for the first few months. Then it doesn't. Two years in, duplicate automation rules conflict with each other. Apex triggers fire multiple times on the same record because nobody built a trigger handler. SOQL queries inside loops hit governor limits on every bulk operation.
This is what DevSquad regularly encounters when inheriting Salesforce instances from clients who built first and planned later. The best practices below are not theoretical standards. They are the patterns that prevent the failures that show up most often in poorly built orgs.
In my experience, Salesforce is one of the most powerful platforms we work with. It's also one of the easiest to build yourself into a corner on. The org that starts with a clear architecture, a trigger handler, and declarative-first development is the one teams can actually maintain two years later. The org that starts with "just build the feature" is the one we spend the first month of an engagement auditing.
What is Salesforce development?
Salesforce development is the process of customizing, extending, and optimizing the Salesforce platform to fit specific business needs. Organizations use Salesforce to manage customer relationships, automate workflows, analyze data, and integrate with external systems. While Salesforce provides many out-of-the-box features, businesses often require custom development to build solutions that align with their operations.
Salesforce development can be categorized into two main approaches:
Declarative development (low-code/no-code): Uses point-and-click tools like to automate processes, create custom objects, and configure business logic. This approach does not require coding and is often managed by Salesforce administrators.
Programmatic development (custom coding) – Uses structured languages to build complex automation, integrations, and custom user interfaces. This approach is necessary when declarative tools cannot handle advanced business requirements.
Languages used by Salesforce developers
There are several technologies and languages Salesforce developers use when creating and deploying their products. They include:
Apex: A strongly typed, object-oriented programming language used for backend logic and automation.
Visualforce: A framework for building custom UI components in Salesforce Classic.
Lightning Web Components (LWC): A modern JavaScript-based framework for creating dynamic, reusable user interfaces.
SOQL & SOSL: Query languages used to retrieve and search for records efficiently in the Salesforce database.
Salesforce APIs: REST, SOAP, and Bulk APIs allow developers to connect Salesforce with external applications and services.
Common use cases for Salesforce development
Salesforce is used by many, and across a variety of use cases. Common ones include:
Automating business processes: Creating triggers, workflows, and scheduled jobs to streamline operations.
Building custom applications: Developing industry-specific applications inside Salesforce.
Enhancing user experience: Designing interactive dashboards, reports, and UI components with Lightning Web Components.
Integrating with external systems: Connecting Salesforce with third-party software (ERP, marketing platforms, payment systems, etc.).
Improving data management: Implementing data validation, deduplication, and automated record updates to maintain data quality.
Salesforce development empowers businesses to customize their CRM, optimize performance, and scale operations efficiently. When implemented correctly, it enables companies to stay competitive by leveraging automation, data insights, and seamless integrations.
Why you should follow these Salesforce development best practices
The most expensive Salesforce projects we inherit are the ones where technical debt built up silently. Nobody made a bad decision on purpose. They made fast decisions: a hardcoded value here, a duplicate trigger there, an automation built on Process Builder that's now end of life. None of it seemed big at the time. Together, it becomes a system nobody wants to touch.
"In development, the quality still depends on understanding the problem first. With the right tools, it's now easier than ever to build something fast, but also easier to build something that looks right and works wrong. Salesforce is no different. The practices exist because experience showed what breaks without them." - Tiago Padilha, Developer, DevSquad
Salesforce is a powerful platform, but without structured development practices, projects quickly become unmanageable, inefficient, and difficult to scale. Ignoring best practices results in performance bottlenecks, security vulnerabilities, and high maintenance costs—all of which slow down business operations and limit Salesforce’s full potential.
Following best practices is more than writing cleaner code—it’s about creating scalable, secure, and maintainable solutions that adapt as business needs evolve. And the time to implement these best practices is from the very beginning.
A well-architected Salesforce implementation allows teams to deliver high-quality features faster, reduce technical debt, and streamline collaboration between developers, admins, and business stakeholders.
Skipping best practices leads to technical debt—meaning costly rework, slow performance, and frustrated end users. A well-structured Salesforce solution adapts to business growth, reduces operational risks, and delivers long-term value.
If your still not convinced, consider these key reasons best practices matter:
Improves Salesforce code quality: A structured approach reduces bugs, inefficient queries, and unnecessary complexity.
Prevents governor limit violations: Salesforce imposes strict limits on queries, CPU time, and API requests. Optimized code avoids hitting these limits.
Simplifies future enhancements: Modular, reusable code means less effort is needed to introduce new features.
Strengthens security and compliance: Implementing role-based access, encryption, and secure APIs protects sensitive business data.
Enhances team collaboration: Standardized development practices allow multiple developers to work together efficiently without conflicts.
Reduces post-launch issues: Thorough testing and deployment strategies help catch errors before they impact users.
Maximizes Salesforce performance: Efficient SOQL queries, bulk processing, and asynchronous execution keep the system running smoothly.
The 40 best practices below are organized by the failure modes they prevent. Each category header names the problem that emerges when these practices are skipped. Evaluate your own Salesforce implementation against what's actually at risk, not just what's technically recommended.
What happens when Salesforce loses its ability to scale
A well-architected Salesforce solution adapts to business growth without performance bottlenecks or costly rewrites. Scalability is not just about handling more users or data—it’s about structuring development in a way that makes enhancements easier, prevents governor limit violations, and supports long-term business agility.
When Salesforce solutions lack scalability, teams experience slow performance, unmanageable codebases, and expensive redevelopment efforts when new business needs arise.
Following best practices for scalability ensures that Salesforce development remains flexible, high-performing, and maintainable over time.
Best practices for scalability:
Design for long-term scalability by separating UI, business logic, and data layers. This modular approach improves maintainability and simplifies enhancements.
Use bulkified Apex code and collections to efficiently process large data sets while preventing governor limit violations.
Implement modular architectures by structuring code into reusable classes, making it easier to extend features without modifying core functionality.
Leverage asynchronous processing (Batch Apex, Queueable Apex, Future Methods) to handle large operations without affecting user experience.
Optimize Salesforce Object Search Language (SOQL) queries by using indexed fields, limiting query results, and reducing unnecessary database calls.
Limit synchronous processing to avoid performance slowdowns for users interacting with the system in real time.
Regularly analyze and refactor code to remove redundancies and improve efficiency as business needs evolve.
Scalability failures in Salesforce almost always stem from the same pattern: business logic written directly in triggers rather than in a service layer. When requirements change, and they always change, every change has to happen in the trigger. Then another trigger fires. Then there's a recursion issue. Then someone adds a workaround. The service layer pattern exists specifically to prevent this cascade.
What breaks when Apex code becomes unmaintainable
Best practices in Apex development plays a critical role in Salesforce customization, but without proper structure, code quickly becomes unmanageable, inefficient, and difficult to scale. Poorly written Apex leads to hard-to-maintain logic, repetitive code, and performance bottlenecks.
Following Salesforce Apex best practices for Salesforce development creates well-structured, reusable, and testable code, allowing teams to iterate faster, debug efficiently, and extend functionality without breaking existing features. A clean and modular approach also supports collaboration and helps improve salesforce code quality.
Best practices to bulkify Apex development:
Structure Apex code with a single trigger per SObject and use a trigger framework to centralize logic. This prevents conflicts and improves maintainability.
Leverage Apex design patterns such as the Singleton, Factory, and Service Layer patterns to separate concerns and improve code organization.
Write reusable service classes to handle business logic independently of triggers and controllers, making the system more flexible.
Encapsulate SOQL queries and DML operations within dedicated classes to improve reusability and prevent governor limit violations.
Use interfaces and abstract classes to enable code reusability across multiple implementations.
Break down large methods into smaller, single-responsibility functions to improve readability and maintainability.
Write testable components that use dependency injection, allowing seamless unit testing without requiring database interactions.
Apex maintenance problems almost always trace back to two causes: no trigger handler, and business logic scattered across multiple places. When logic lives in the trigger, in a controller, and in a Flow at once, with nobody documenting which runs first, debugging becomes archaeology. A single trigger handler per object, with logic in service classes, separates a codebase people understand from one they fear.
"I now prioritize features where AI adds real value, like automation or insights. I also think more about data quality and model feasibility early in the planning process, because you can accelerate development significantly, but only if the architecture underneath supports it. Salesforce is the same: the quality of the automation depends entirely on the quality of the data model beneath it." - Vitor Carnello Jatoba, Product Manager, DevSquad
What testing failures actually cost in a Salesforce org
A well-built Salesforce solution delivers value beyond functionality—it must be reliable, resilient, and aligned with business goals. Poorly tested and rushed development leads to unexpected failures, security vulnerabilities, and costly post-launch fixes.
Apex best practices for Salesforce development should incorporate testing strategies and automation to minimize defects and streamline releases. Teams that adopt structured testing and deployment workflows reduce production risks, lower maintenance costs, and improve user adoption.
Best practices for quality-driven development:
Conduct thorough unit testing to cover all possible scenarios, including bulk data processing, error handling, and edge cases.
Use mocking frameworks and test data factories to create test records dynamically, improving test reliability.
Write test classes that exceed the 75% code coverage requirement, focusing on functional correctness rather than just hitting the minimum threshold.
Ensure business requirements drive test cases, verifying that each feature functions as expected before deployment.
Automate deployment processes using Salesforce DX and CI/CD pipelines to reduce manual errors and accelerate releases.
Implement static code analysis tools to detect inefficiencies, security vulnerabilities, and code inconsistencies before deployment.
Test in a sandbox or scratch org first to validate changes before they reach production.
Adopt a test-driven development (TDD) approach where unit tests are written before implementing new features.
The 75% code coverage requirement exists for a reason. Teams that optimize for the number rather than the quality of tests are the ones with the most production incidents. Tests that only cover the happy path tell you nothing about bulk data loads, governor limits, or an integration sending unexpected data. Every test class should have a "what if everything goes wrong at once" scenario.
The hidden cost of a disorganized Salesforce team
Your Salesforce development requires a structured approach that promotes clarity, consistency, and collaboration. Without standardized development practices, teams struggle with conflicting code versions, inconsistent implementations, and difficult knowledge transfer, leading to inefficiencies and delays.
A well-documented, source-driven approach allows multiple developers to work seamlessly on the same Salesforce solution, reducing errors and making it easier to onboard new team members.
Best practices for team collaboration in Salesforce development:
Maintain clear naming conventions for Apex classes, methods, and variables to improve readability and consistency across the codebase.
Use descriptive names for objects and fields to make data relationships clear and avoid confusion in queries and reports.
Document business logic and workflows to facilitate knowledge transfer between developers, admins, and business stakeholders.
Follow source-driven development (SDD) principles to manage metadata and code as part of a structured version control process.
Implement Git version control for team collaboration, allowing developers to track changes, merge updates efficiently, and prevent code conflicts.
Use branching strategies (feature branches, development branches, and release branches) to maintain code stability while enabling continuous development.
Leverage pull requests and peer code reviews to catch errors early, enforce best practices, and improve overall code quality.
Adopt a consistent deployment workflow using CI/CD pipelines to standardize how changes move from development to production environments.
The most disorganized Salesforce orgs we audit have one thing in common: no version control. Everything lives in production. Changes were made directly to the org because "it was faster." Nobody knows what was changed six months ago or why. Git and CI/CD aren't bureaucracy. They're the institutional memory that lets a team work on the same codebase without constantly breaking each other's work.
What a security failure looks like in Salesforce practice
Last but by no means the least—security.
Security is a critical aspect of Salesforce development, protecting business data, customer information, and system integrity. Misconfigured security settings expose sensitive records to unauthorized users, while hardcoded permissions make it difficult to adapt as access requirements change.
A security-first approach is paramount. Salesforce solutions must meet compliance requirements, prevent data breaches, and maintain user trust.
Best practices for Salesforce security and compliance:
Apply CRUD, FLS, and Sharing Rules to safeguard data integrity by ensuring users only access the records and fields they are authorized to view or edit.
Avoid hardcoded user permissions—use custom settings and permission sets to manage access dynamically.
Encrypt sensitive data using Salesforce Shield Platform Encryption where applicable to enhance data security.
Monitor Apex governor limits to prevent performance issues that could expose data inconsistencies.
Use Named Credentials for API authentication to store external system login details securely instead of hardcoding credentials in Apex.
Audit login activity and permission changes to detect and respond to unauthorized access attempts.
Secure Visualforce and Lightning Components by sanitizing user inputs and using with sharing in Apex controllers to enforce security rules.
Implement two-factor authentication (2FA) and single sign-on (SSO) to strengthen authentication processes.
Regularly review security health check reports in Salesforce to identify and fix potential vulnerabilities.
Follow compliance regulations (GDPR, HIPAA, CCPA) by implementing data retention policies and anonymizing personal information when required.
CRUD and FLS enforcement is the most consistently skipped security practice we see in inherited orgs. Usually it wasn't enforced in the original development, and adding it now breaks existing functionality. The debt compounds: every new feature gets built without enforcement because the old features didn't have it either. Security best practices must be baked in from the first deployment, not retrofitted after launch.
When to configure vs. when to customize: the Flow vs. Apex decision
The single most common source of Salesforce technical debt is reaching for code when a declarative solution exists. The second most common is reaching for Flow when the requirement genuinely needs Apex. The decision matters for maintainability, performance, and who can own the automation long term.
When Flow is the right answer
Salesforce Flow is now the platform's primary and officially preferred automation tool. Use it when the automation is record-triggered with straightforward logic, or when business users need to modify it without developer involvement. It also fits when the logic stays within Flow's capabilities, without DML inside loops or external callouts. Workflow Rules and Process Builder could no longer be created after December 31, 2025, so default to Flow first. Three failure modes show up repeatedly in DevSquad audits: God Flows trying to handle every scenario, and hard-coded IDs that break between environments. A third is missing fault connectors that fail silently.
When Apex is the right answer
Apex becomes necessary when the logic requires complex processing that would hit Flow's limits, or when the automation needs an API callout with complex authentication. It's also the right call for processing millions of records, where Apex Batch gives better control. The same goes for a Flow that would turn into a 60-node tangle no admin can debug once the original developer leaves. A simple rule of thumb: if the task is under 50 lines of logic with no external callouts, start with Flow. Past that threshold, Apex is usually the better long-term investment.
How over-customization creates technical debt
Over-customization means using Apex to solve problems that Flow or native Salesforce configuration could handle just as well. The consequences compound fast. Every Salesforce release requires re-testing custom code for compatibility. Developer bottlenecks form when admins can't modify critical automations without filing a ticket. The maintenance cost of custom code grows with each org update, even when nothing about the underlying business requirement has changed.
11% of teams see bugs more often than not in their releases due to deployment complexity caused by over-customization.
How DevSquad can help you build your Salesforce solution the right way from day one
Another option is to utilize a team of experts that already implement these best practices into their Salesforce development processes. Instead of navigating the complexities of Apex, security protocols, and scalable architecture on your own, partnering with a team that specializes in structured, high-quality Salesforce development can save time, reduce risk, and deliver a solution that works from day one.
At DevSquad, that’s what you get. We build the right way from the start. Our development process is rooted in scalability, security, and long-term maintainability, ensuring that your Salesforce instance is not only functional but also future-proof.
And to add to that, we are fully prepared to train your team and support a smooth transition from our hands to yours.
Here’s what makes our approach different:
Ready to build a high-performing Salesforce environment that aligns with your business goals? Learn more about our Salesforce Development process.
Salesforce development best practices FAQs
Look for a handful of recurring signs: triggers firing in unpredictable order, Flows nobody fully understands, and SOQL queries hitting governor limits during routine operations. If your team avoids touching certain parts of the org out of fear, that avoidance is itself the clearest signal.
If only one practice made the list, it would be a single trigger handler per object with business logic pushed into service classes. Most scalability and debugging problems DevSquad finds in inherited orgs trace back to logic scattered across triggers, controllers, and Flows with no clear order.
Default to Flow first. It's Salesforce's officially preferred automation tool, and with Workflow Rules and Process Builder no longer available, Flow covers most record-triggered logic a typical team needs. Reach for Apex when the requirement involves complex data processing, API callouts with custom authentication, or bulk operations on large data volumes. Most teams need both, used deliberately rather than defaulted into.
Phil Alves is the CEO and Founder of DevSquad and DevStats. He’s built and launched 100+ software products for bootstrapped founders, fast-growing startups, and enterprises. Phil writes about SaaS, product strategy, operational complexity, and building scalable development processes. He enjoys aviation, investing, and learning from other SaaS founders.