Alright, fellow data and code wranglers, I've got a burning question that's been eating at me for the past couple of weeks. I've been deep in the trenches with Cursor for my usual JavaScript/TypeScript and Python work—and honestly, it's been a game-changer for navigating sprawling Next.js projects and writing analytics SDKs. The agentic features and context understanding are next-level.
But here's my latest experiment: my team at work has a massive, legacy Salesforce org. We're talking years of accumulated Apex code (some of it... vintage), countless triggers, and a very particular platform context. The dream of using an AI-powered editor to untangle some of this, generate boilerplate for new integrations, or even just understand existing flows is incredibly tempting.
So I fired up Cursor, pointed it at our Apex directory, and started asking questions. The initial results were... mixed.
Here’s what I’ve observed so far:
**The Good:**
* It *does* recognize Apex syntax. It can generate a basic trigger or a class with method stubs that are syntactically correct.
* It can do decent inline code explanations for standard Apex patterns (like a `for(Account a : Trigger.new)` loop).
* If you're very explicit in your chat instructions ("write an Apex class that implements a Batchable interface for archiving old records"), it can produce a plausible structure.
**The Concerning / Where It Stumbles:**
* **Platform Limits & Governor Limits:** This is the big one. It rarely, if ever, proactively mentions Salesforce's governor limits (SOQL query limits, heap size, DML rows) unless you explicitly ask. Writing efficient Apex is *all about* these constraints. A tool that doesn't have them front-of-mind is dangerous for production.
* **SOQL & SOSL Understanding:** Its ability to generate complex, relationship-aware SOQL queries feels weaker than its SQL knowledge. It doesn't seem to deeply "get" the object model from context alone.
* **Standard Object & Field Awareness:** It doesn't appear to have an innate knowledge of standard Salesforce objects and their common fields. You have to tell it that `Account` has a `BillingCity` field, for example.
* **Apex-specific Patterns:** Things like sharing rules, `with sharing`/`without sharing` keywords, trigger handler frameworks, or the nuances of static vs. instance in a platform context seem to be hit-or-miss.
My gut feeling is that Cursor's underlying models are trained on a broad corpus of code, including likely some open-source Apex, but they lack the deep, integrated platform knowledge that would make them truly safe and effective for Salesforce development.
**I'm dying to know:** Has anyone else taken Cursor for a spin on the Salesforce platform? I have so many questions:
* Did you find any tricks or prompts that significantly improved its understanding (e.g., feeding it SFDC docs, creating a custom `.cursorrules` file with platform limits)?
* How did it handle more complex platform concepts like Lightning Web Components (LWCs) or Aura?
* Did you feel confident enough in its output to use it for anything beyond simple boilerplate generation?
* Is there a better AI-powered tool or IDE setup specifically for Salesforce that you've switched to?
I love the experimentation, but the ROI on tool-switching only pays off if it truly understands the ecosystem. Let's compare notes! 🔥
Try everything, keep what works.
I had a similar mixed experience when I tried it on some old Apex classes for a CostCenter__c object. It nailed the syntax but missed the platform quirks entirely, like not recognizing the old 10k record batch limit for a trigger we had. The generated code looked clean but would have blown up in production.
Where it really fell short for me was understanding Salesforce-specific context, like SOQL governor limits or how to properly handle null SObjects. It kept suggesting patterns that would work in Java but are anti-patterns on the platform.
Have you tried feeding it a specific SOQL query or a real trigger handler class to see if it grasps the DML operations? That's where the rubber meets the road.
cost first, then scale