I tested the 6 best AI for Salesforce coding tools in 2025: Here’s my verdict

You’ve been there. You ask a chatbot for a simple Apex trigger, and it confidently serves up a block of code that looks a whole lot like Java. Or it suggests a SOQL query inside a "for" loop, completely ignoring governor limits like it’s a friendly suggestion. Even worse, it just invents "sObjects" that don't exist in your org, or anywhere else for that matter.

After a few of those moments, it’s easy to write off the whole "AI for developers" thing. A lot of the initial hype felt totally disconnected from what we actually do day-to-day as Salesforce developers.

That’s why I decided to cut through the noise. I spent some real time with the top AI tools that claim to be the best AI for Salesforce coding. I wanted to figure out which ones are genuinely useful and which ones are just glorified autocomplete that gets you into trouble. My goal was to find the tools that actually understand the Salesforce platform and can make our lives easier, not harder.

It’s obvious AI is changing how developers work, but it’s also changing things for admins, consultants, and support agents across the Salesforce ecosystem. It's not just about writing code faster anymore; it’s about making the whole platform work smarter for everyone.

Understanding AI for Salesforce coding

First off, these aren't your average chatbots. The best AI tools for Salesforce coding are more like specialized assistants that plug right into your IDE, like VS Code. They're built to speak Salesforce fluently.

That means they need to get the whole picture: Apex, Lightning Web Components (LWC), Aura, SOQL, and even the occasional dusty Visualforce page. But more importantly, a good tool needs context. It has to know about your existing codebase, your org’s metadata, and the hard-and-fast rules like governor limits and API versions. Without that context, it's just guessing.

How I picked and tested the tools

To put this list together, I didn't just read marketing pages. I got my hands dirty with each tool, judging them on the things that actually matter when you're on the clock.

I focused on a few key things. How good is the code it spits out? Is it valid, efficient, and something you'd actually merge into production? How well does it fit into VS Code or Code Builder? Is it helping you or just getting in the way? I also looked at whether it could understand the rest of the project to give smart suggestions or if it was just working in a bubble. Finally, I just wanted to know if it was easy to use for common tasks like writing unit tests, explaining some old code, or debugging a tricky function.

A quick comparison of the AI tools

Here’s a quick rundown of the tools I put to the test. We’ll get into the nitty-gritty below, but this should give you a good starting point.

The 6 best AI for Salesforce coding tools in 2025

After spending quality time with each of these, here's my detailed breakdown of what works, what doesn’t, and who I think each tool is really for.

1. Einstein for Developers

A screenshot of the Einstein for Developers landing page, a top contender for the best AI for Salesforce coding.

This is Salesforce's own AI assistant, built right into a VS Code extension and their web-based Code Builder. It runs on Salesforce's own model, CodeGen, and is protected by the Einstein Trust Layer, which is a fancy way of saying your code and data never leave the Salesforce ecosystem.

What I liked about it was its incredible knowledge of my specific org’s metadata, custom objects, and fields. No other tool came close. Generating accurate test classes for an existing Apex class was also impressively simple. And if data security is your company’s top priority, this is easily the safest option out there.

The downside, though, is that it can feel a bit sluggish compared to the other tools. Its skills are also focused entirely on Salesforce development, so it won’t help you with anything else.

As for pricing, this is where it gets a little fuzzy. You can't just buy Einstein for Developers on its own. It's usually bundled with certain Salesforce editions, like Enterprise and Unlimited, or available through an Einstein 1 Platform add-on. Honestly, you'll probably need to talk to a sales rep to figure out if you have it or how to get it.

My Take: If your work is 100% inside Salesforce and your company has a strict data security policy, Einstein for Developers is the most sensible choice. Its deep understanding of your org’s unique setup is a real advantage that third-party tools just can't replicate.

2. GitHub Copilot

A screenshot of the GitHub Copilot landing page, another one of the best AI for Salesforce coding tools available.

You’ve almost certainly heard of this one. Backed by GitHub and OpenAI, Copilot is the most popular AI pair programmer around. It plugs into pretty much any IDE and offers real-time code suggestions for dozens of languages, with a surprisingly good handle on Apex and JavaScript for LWCs.

The autocompletion is incredibly fast and saves a ton of typing, especially for boilerplate code. It's also a huge help when building Lightning Web Components because of its strong support for JavaScript, HTML, and CSS. The integrated chat is also handy for asking general coding questions without leaving your editor.

However, it doesn't know anything about Salesforce governor limits out of the box. You have to specifically remind it to watch out for them. It can also sometimes suggest code from public repositories that might be outdated or not follow best practices, so you have to keep an eye on it.

My Take: For pure coding speed, especially on the front-end, Copilot is a huge help. It just makes you faster. Just remember to treat its Apex suggestions like they came from a junior dev, they usually need a quick review to make sure they're ready for production.

3. Claude

A screenshot of the Claude landing page, a powerful tool and a candidate for the best AI for Salesforce coding.

Developed by Anthropic, Claude is known for generating high-quality, well-structured code. Its big selling point is a massive context window, meaning it can look at entire Apex classes or LWC bundles at once to give more relevant suggestions for refactoring or adding new features.

I found it's fantastic at taking a high-level request and turning it into clean, commented code that’s easy to follow. Because it can see more of your code at once, it's great for bigger refactoring jobs. The code it produces just feels a bit safer and more thought-out than what you get from other general models.

On the other hand, to use it effectively inside your IDE, you’ll need a third-party tool like Cursor or a specific extension that supports it. The free version also has daily usage limits that you can hit pretty fast if you're leaning on it heavily.

My Take: When I've got a messy, old Apex class that needs a complete rewrite or I'm building a complex LWC from scratch, Claude is the first tool I turn to. The quality of the output is consistently high and usually requires less cleanup.

4. Gemini

Gemini is Google's flagship AI model, and it's particularly good at reasoning and working through complex problems. You don't use it as a standalone app; instead, you access it through tools like Google AI Studio or an API integration in your IDE. Its real strength is breaking down vague business requirements into a logical code structure.

It really excels at mapping out solutions for complicated logic, like a multi-step callout to an external service. In my tests, it was also surprisingly good at spotting subtle bugs in my existing Apex code and suggesting fixes.

The main drawback is that, like other general models, it can make Salesforce-specific syntax errors if you don't give it a lot of context. Its responses can also be a bit long-winded sometimes. Pricing is another headache. There isn't a simple monthly subscription. Gemini's cost is based on API usage through Google Cloud's Vertex AI platform, which makes it hard to predict your monthly bill.

My Take: For those moments when you're staring at a blank file thinking, "How am I even going to start this?", Gemini is a great brainstorming partner. It's perfect for architectural planning and getting a solid foundation in place before you write the first line of code.

5. Codeium (WindSurf)

A screenshot of the WindSurf (formerly Codeium) landing page, a speedy choice for the best AI for Salesforce coding.

Formerly known as Codeium, WindSurf is an AI coding assistant that's built a loyal following thanks to its speed and a very generous free plan. It works a lot like GitHub Copilot, giving you quick autocompletions and a chat interface right inside your IDE.

The free plan is solid and perfect for solo developers or small teams. The code completion feels almost instant, which is great. They also offer self-hosting options for companies with very strict data privacy needs.

The trade-off is that its underlying model isn't quite as powerful as what Claude or Gemini offer, especially for generating complex, multi-file solutions from a single prompt. It also has a smaller community, so finding Salesforce-specific tips can be a bit more difficult.

My Take: If you're looking for a free, fast alternative to GitHub Copilot, WindSurf is an excellent choice. It really delivers on the core autocompletion experience without costing you anything.

6. ChatGPT

A screenshot of the ChatGPT landing page, a versatile option among the best AI for Salesforce coding tools.

Of course, we have to mention the AI that started this whole craze. While I wouldn't recommend using ChatGPT to write an entire Apex class, it’s still incredibly useful for certain Salesforce tasks, especially the ones you can describe in plain English.

It's amazing at generating complex Salesforce formula fields and validation rules from a simple sentence. It's also very helpful for outlining the logical steps of a Salesforce Flow before you jump into the builder. I've also found it useful for quickly explaining what a tangled piece of legacy code is supposed to do.

That said, it's the most likely of all these tools to hallucinate Apex or LWC code that is completely, fundamentally wrong. Using it also requires a tedious copy-paste routine between your browser and your IDE, and it has zero knowledge of your specific project or org.

It makes up so much BS that maybe should work, but doesn’t.

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My Take: Don't ask it to write your triggers. But for knocking out a tricky validation rule in 30 seconds or getting a high-level plan for a new Flow, it's still a fantastic tool to have bookmarked.

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How to choose the right AI assistant for your team

There's no single "best" tool here. It really comes down to what your team needs most.

• If security is everything: If keeping your code and data locked down is the top priority, you should start and end your search with Einstein for Developers.

• If you just want to go faster: For the biggest across-the-board speed boost for the whole team, a license for GitHub Copilot is probably the right move.

• If you're starting a big new project: When you're building something complex from the ground up, using an IDE like Cursor hooked up to Claude or Gemini can help you design a cleaner solution from the start.

But what about AI for your non-developer Salesforce users?

It's easy to get wrapped up in these developer tools, but we're just one part of the Salesforce equation. What about your customer support team in Service Cloud? Or your internal IT help desk using Jira Service Management? An AI coding assistant is completely useless for them.

These teams aren't writing Apex; they're talking to customers, answering questions, and trying to solve problems. They need an AI that understands conversation histories, help center articles from Confluence or Google Docs, and your company's specific support processes.

This is where a different kind of AI comes into play. A tool like eesel AI is built specifically for customer service and internal support teams. Instead of connecting to your code, it connects directly to your help desk (like Zendesk or Freshdesk) and all your knowledge sources.

The real difference is how it learns. eesel AI is self-serve and can be running in just a few minutes. It automatically learns from your team's past tickets to understand your business and reply with the right tone. Best of all, you can safely simulate its performance on thousands of your historical tickets to see exactly how it will perform before you turn it on for a single customer. It gives you complete confidence from day one.

The verdict on AI for Salesforce coding

We’re finally at a point where AI for Salesforce development is genuinely useful. We've moved past gimmicky chatbots to specialized tools that can actually help us get work done faster and better.

But as you start giving your developers these new capabilities, don't forget about your support and service teams. The right AI can give a real boost to every department that uses Salesforce, not just the ones writing the code.

Give your developers the coding tools they need, and give your support teams the automation they deserve with eesel AI. You can start a free trial and see how much you can automate today.