Technical Debt has always been an issue with Salesforce implementations. In the US alone, tech debt costs $2.41 trillion a year and would require $1.52 trillion to fix.
The story may start with a small org that gets added business processes meeting the business requests, or a big org that ends up having separate teams for different departments and implementing complex logic way beyond the original CRM design.
But what they have in common, though, is that Technical Debt being generated with each development is not taken into account because, well, the old quote still rings true: “There is never enough time to do it right, but there is always enough time to do it over”.
There are documented ways companies have dealt with Technical Debt, from organizing the processes and working iteratively to scrapping their legacy org completely and starting with a fresh one.
Whatever the approach is, the situation is that investment is being made to fix things before progress can be retaken with new features or integrations. But the tragedy is that the business understands the need for it when it’s far too gone, far too critical, and the cost is significant.
So, how do you deal with the technical debt in the age of AI? In this article, we will dive deep into Salesforce technical debt, best practices for development, managing technical debt, and how new technologies, such as Generative AI, can enhance our approach to building solutions on Salesforce.
What Is Salesforce Technical Debt?
Salesforce technical debt refers to the accumulated cost of rework caused by choosing quick, easy solutions over more robust, long-term approaches during Salesforce development.
This debt manifests in both code (Apex) and clicks (declarative tools like Flows and Process Builder) and can significantly impact system performance, scalability, and maintainability.
Why Is Technical Debt an Issue in Salesforce?
Salesforce technical debt is particularly concerning for the following reasons:
- Complexity: The Salesforce platform is a powerful and flexible tool, but this flexibility can sometimes lead to over-complicated solutions that are hard to manage.
- Performance Degradation: Unoptimized code and automation can cause system performance to degrade over time, resulting in slower load times and user experience issues.
- Scalability Issues: As your business grows, your Salesforce org needs to scale to meet increasing demands. Technical debt can make scaling more difficult and costly.
- Maintenance Challenges: Systems laden with technical debt become harder to maintain. The longer these issues persist, the more difficult and expensive it becomes to fix them.
The Costs of Ignoring Technical Debt
Failing to manage Salesforce technical debt comes with several significant consequences:
1. Reduced System Performance
As technical debt accumulates, it can degrade your Salesforce org’s performance. For example, inefficient automation, poorly structured data models, or excessive use of triggers and workflows can slow down data processing. This might not be noticeable initially but can cause long-term issues, particularly as your Salesforce instance grows.
2. Increased Cost of Change
Salesforce frequently updates its platform with new features and releases. Technical debt can increase the time and effort required to adapt your Salesforce instance to these updates. You may find yourself spending more resources just to keep up with Salesforce releases rather than focusing on strategic growth or innovation.
3. Higher Risk of Bugs and Errors
Over time, technical debt introduces more complexity and ambiguity into the system. This can result in bugs, errors, or even system outages. A lack of proper documentation or over-complicated customizations can also make it difficult for future developers to troubleshoot and resolve these issues efficiently.
4. Impaired User Experience
Technical debt can manifest in user-facing issues. Inefficient automation, slow-loading pages, or broken workflows can negatively impact the user experience. When Salesforce is slow or buggy, it frustrates users and reduces productivity.
How to Avoid Salesforce Technical Debt?
While technical debt is inevitable in many cases, adhering to development best practices can help minimize its impact. Below are the best practices to follow in Salesforce development to reduce and manage technical debt:
1. Prioritize Declarative Over Programmatic Solutions
One of the primary ways to minimize technical debt in Salesforce is by using declarative tools like Flows, Process Builder, and Workflow Rules instead of Apex code whenever possible. Declarative tools are easier to maintain, faster to deploy, and require less custom development.
- Flows are Salesforce’s recommended declarative tool for automation. They offer more flexibility than Workflow Rules or Process Builder and allow for complex logic without writing any code.
- Process Builder and Workflow Rules are suitable for simpler automation needs but should be used cautiously to avoid over-complicating the org.
2. Modular Design and Reusability
Develop solutions in a modular way. Break complex processes and logic into smaller, reusable components.
Whether you’re writing Apex code or building Flows, ensuring reusability and modularity will make it easier to maintain the system and address issues as they arise. A modular design makes it possible to implement changes or updates with minimal disruption to the system.
3. Establish Consistent Naming Conventions
Inconsistent naming conventions can create confusion and make it difficult to maintain and update your Salesforce instance. Ensure that all fields, variables, components, and other elements are named according to established conventions. This not only improves clarity but also facilitates easier collaboration among developers.
4. Use Source Control and Versioning
Utilizing a source control system like Git allows you to manage changes in your Salesforce org systematically. With version control, you can track changes over time, roll back to previous versions, and collaborate more effectively with your team.
5. Automate Testing and Quality Assurance
Testing is critical in Salesforce development. Ensure you have proper unit tests for your Apex code and automated tests for your Flows. Salesforce provides tools like Apex Test Classes and Salesforce DX that facilitate continuous integration and testing. By automating testing, you reduce the risk of introducing bugs or breaking existing features when implementing new changes.
6. Keep Up With Salesforce Releases
Salesforce releases updates three times a year. Regularly updating your Salesforce instance and adapting your customizations to new features is vital to minimizing technical debt. Staying on top of new tools and features ensures your Salesforce org remains efficient and that you can take advantage of the latest improvements.
Effective Technical Debt Management
Managing technical debt requires a proactive, continuous approach. Here are key strategies for effective technical debt management:
1. Conduct Regular Technical Debt Audits
Conducting regular audits of your Salesforce org is crucial for identifying areas where technical debt has accumulated. Use tools like Salesforce Optimizer, Code Analyzer, or third-party solutions to assess the health of your org.
Audit areas that are particularly prone to technical debt:
- Unused fields, objects, or Apex code
- Over-complicated Flows or automation
- Redundant customizations
2. Prioritize Debt Reduction
Once you’ve identified areas of technical debt, prioritize addressing them based on their impact. Focus on issues that affect performance or scalability, as these tend to have the most significant consequences.
3. Establish a Technical Debt Policy
Set clear guidelines for when and how to address technical debt. Define how much technical debt is acceptable, when it should be addressed, and the processes for eliminating it. Having a policy in place ensures that everyone involved understands the importance of managing technical debt and has a plan for addressing it.
4. Incremental Refactoring
Instead of trying to resolve all technical debt at once, break it down into smaller, manageable pieces. Schedule time for incremental refactoring and focus on areas that will have the greatest immediate impact. Regularly revisit areas that have been refactored to ensure they remain clean and efficient.
Using Generative AI in Salesforce
In recent years, Generative AI has emerged as a game-changer in the Salesforce development space. These AI-driven tools can assist with everything from code generation to optimization, offering new possibilities for managing and reducing technical debt.
Benefits of Generative AI in Salesforce Development
- Automated Code Generation: Generative AI tools can assist developers by automatically generating boilerplate code, allowing them to focus on more complex tasks. This reduces development time and minimizes the risk of introducing errors due to manual coding.
- AI-Driven Recommendations: Tools like Salesforce’s Einstein AI can analyze your existing codebase and offer recommendations for optimization. This is especially useful for identifying areas where technical debt has accumulated and suggesting improvements.
- Bug Detection: Generative AI can also help detect bugs and inconsistencies in your codebase, automatically suggesting fixes. This proactive approach can prevent issues from escalating into larger problems.
Challenges of Using AI
While Generative AI offers significant advantages, it also comes with potential challenges:
- Quality Control: AI-generated code may not always meet the same standards as human-developed solutions. It’s essential to have skilled developers oversee AI-generated code to ensure quality.
- Increased Complexity: Introducing AI into the development process can add a layer of complexity, especially when integrating with legacy systems. Developers must strike a balance between leveraging AI and maintaining human oversight.
Data Privacy and Compliance Concerns: As Salesforce often deals with sensitive business and customer data, the integration of Generative AI raises potential data privacy and compliance concerns. AI tools that access or analyze data may inadvertently expose sensitive information if proper safeguards are not in place. Also, depending on your region and industry, regulatory requirements such as GDPR, CCPA, or HIPAA may impose restrictions on how AI can be used with customer data.
Conclusion
Managing Salesforce technical debt is an ongoing process that requires diligence and strategic planning. By adhering to best practices in development, implementing effective debt management strategies, and cautiously integrating Generative AI, organizations can maintain a Salesforce environment that is efficient, scalable, and aligned with business objectives.
Remember, addressing technical debt proactively not only enhances system performance but also ensures a smoother path for future innovations and integrations.
Frequently Asked Questions
Salesforce technical debt refers to short-term solutions that lead to long-term maintenance challenges. It can impact system performance, scalability, and overall efficiency. Managing technical debt is crucial for maintaining a scalable, efficient Salesforce environment, ensuring smoother upgrades, and minimizing development costs and future rework.
Technical debt can cause slow page loads, delayed data processing, and inefficient system performance. Over-complicated automation or redundant components can degrade user experience and system efficiency. Over time, it limits scalability and increases maintenance costs, affecting your ability to implement updates or add new features.
Common causes include over-customization, reliance on outdated tools (like Process Builder), lack of documentation, inconsistent naming conventions, and failure to remove unused components. Additionally, not staying updated with Salesforce releases can create technical debt that accumulates as the platform evolves and new tools become available.
To manage technical debt, conduct regular audits to identify inefficiencies. Prioritize areas with the highest impact, like performance issues or outdated automation. Implement incremental refactoring and document guidelines for debt management. Regularly review your Salesforce org to ensure improvements and avoid future debt accumulation.
Generative AI can reduce technical debt by automating code generation, suggesting optimizations, and detecting bugs early. However, AI-generated solutions should be reviewed by experienced developers to maintain quality and avoid introducing new issues. Proper oversight ensures AI enhances productivity without compromising system integrity.
Best practices include prioritizing declarative tools over custom code, maintaining modular designs, establishing consistent naming conventions, using version control, and regularly refactoring. Staying updated with Salesforce releases and ensuring proper documentation are also key to preventing technical debt and ensuring long-term system health.
Integrating Generative AI can introduce risks such as low-quality AI-generated code, increased system complexity, and potential data privacy concerns. AI tools must comply with regulations like GDPR or HIPAA, and human oversight is essential to ensure code quality and security, reducing the risk of introducing new technical debt.
Written by:
Federico Miguez
Director of Engineering LATAM
