Alex Mracek – January 13, 2026

You’ve been there: you deploy a critical automation, and suddenly, the dreaded (System.LimitException: CPU Time Limit Exceeded) shows in logs. Or, perhaps you’re looking at a 1,000-line Apex class written years ago, trying to debug a production issue, and realizing the logic is completely undocumented.
Welcome to the challenges of modern (well, maybe all) Salesforce development.
As data volumes on the platform surge and business logic becomes more complex, our old approaches to processing massive datasets and ensuring code quality are no longer sufficient.
This problem is compounded by the Dreamforce 2025 push towards the “Agentic Enterprise". AI agents need clean, well-structured, and discoverable code to function effectively. Bad code is invisible to AI. The future of Apex development in 2026 demands two things: scalability and clarity.
Fortunately, Salesforce has given us the tools to address both: Apex Cursors and the Built-in ApexDoc Standard. Let’s master them.
For years, (Database.Batchable<SObject>) has been the workhorse for processing large datasets. While reliable, Batch Apex comes with inherent architectural overhead: it's stateful (if you’re tracking across batches), requires managing a three-step lifecycle (start(), execute(), finish()), and limits your control over execution to fixed batch sizes. This architecture can introduce complexity, especially when integrating complex, high-volume async chains.
Salesforce Apex Cursors are the modern, more flexible solution for traversing massive SOQL result sets, elegantly handling up to 50 million records.
Think of a Cursor not as a job itself, but as a pointer. It is a stateless mechanism that points to a position within a result set, allowing you to fetch the exact chunk of data you need, precisely when you need it.
The key methods are:
The true power of Cursors is unlocked when combined with Queueable Apex, creating an infinitely more flexible and scalable asynchronous chain.
Instead of relying on Batch Apex's fixed structure, you can implement a recursive Queueable job that manages the Cursor's position:
This pattern enables granular control over chunk sizes, improved error handling, and a more predictable resource consumption footprint, making it ideal for real-time integrations and complex async workflows.
| Feature | Apex Cursors (for 2026) | Batch Apex (Legacy/Simple) |
| Max Records | 50 Million | 50 Million (via Query Locator) |
| Architecture | Stateless (ideal for chaining Queueables) | Stateful (start/execute/finish) |
| Flexibility | Dynamic fetch size, bidirectional navigation | Fixed batch size (200, up to 2000) |
| Best For | Real-time integrations, high-volume async jobs, complex chains | Simple, time-consuming updates, recurring jobs |
Our verdict for 2026: If you need maximum flexibility and control over large-volume asynchronous processing, Apex Cursors are becoming the preferred standard.
Why is documentation suddenly a major topic? (It always should be!) It’s mostly because in the era of generative AI, your code documentation is the metadata from where your AI learns.
The new Agentforce platform and its suite of developer AI tools, announced at Dreamforce 2025, which provide code suggestions, vulnerability analysis, and method explanations, rely heavily on well-structured ApexDoc to accurately understand your code's intent and usage. Poorly documented Apex is invisible to your Agent companion.
Salesforce supports a robust, built-in ApexDoc standard using Javadoc-style comment blocks. This should be mandatory for every Apex Class, Method, and Property you write.
/**
* @description Processes a list of Account records by updating their related Contacts.
* This method is called from a custom Flow Action.
*
* @param accounts The list of Account records to process. Must not be null.
* @return List<Contact> A list of the updated Contact records.
* @author Your Name
*/
public static List<Contact> processAccounts(List<Account> accounts) {
// Logic here...
}
Pro Tip: Use VS Code extensions (like ApexDox) that can auto-generate a stub for the comment block, letting you simply fill in the descriptions. No more excuses for undocumented code!
Documentation should never be a manual burden. The most effective way to ensure documentation fidelity is to integrate the generation process into your Continuous Integration/Continuous Delivery (CI/CD) pipeline.
By leveraging an ApexDoc generator tool and running it with every successful merge or deployment, you can:
This makes your code base instantly more valuable, readable, and ready for integration with the AI tools of the “Agentic Enterprise”.
The features we've discussed: Apex Cursors for scalability and ApexDoc for clarity, are not just best practices; they are quickly becoming the baseline requirements for the Apex developer moving into 2026.
As Agentforce capabilities deepen, your well-documented code becomes metadata that can be analyzed, explained, and eventually, responsibly modified by AI agents. This shift demands that we treat every line of code with the utmost attention to structure and intent.
Embrace the evolution. Your CPU limits and your fellow developers (human and AI) will thank you.
The future of Salesforce development is defined by complexity and scale, as well as powerful new tools. By adopting Apex Cursors for handling massive data operations and strictly adhering to the ApexDoc standard for code clarity, you are future-proofing your codebase.
Don't wait for your next Salesforce governor limit exception to make the change. Start with a blueprint for success. Advanced Apex Cursors and AI Agents are powerful tools, but they require a solid architectural foundation. Before you commit to code, ensure your strategy is sound.
SprintZero is our proprietary roadmapping process that aligns your business goals with technical reality. We help you define scope, identify risks, and map out a scalable architecture before development begins. Don't build in the dark. Start with a plan.