The top 7 AI tools for Salesforce developers in 2025

It feels like just yesterday that generative AI was a cool party trick, but now it’s a staple in any serious developer's toolkit. For Salesforce professionals, this has opened up a whole new world of tools designed to help write, debug, and optimize code faster than ever.

The market is crowded, though. It’s tough to figure out which tools actually get the nuances of Apex, LWC, and Salesforce governor limits, and which ones are just going to spit out code that looks good but won't even compile.

This guide cuts through the noise and breaks down the 7 best AI tools for Salesforce developers in 2025, based on what people are actually using and talking about. We’ll cover everything from native Salesforce solutions to third-party assistants to help you find the right coding sidekick.

What are AI tools for Salesforce developers?

When we talk about AI tools for Salesforce devs, we're not just talking about fancy autocomplete. These are assistants that can help you at pretty much any stage of a project.

You can break them down into a few main types, as illustrated in the graphic below:

• Code Generation & Assistance: These tools turn plain English prompts into usable Apex or LWC. Think of them as a pair programmer that can instantly write boilerplate, suggest entire functions, and help you mock up ideas in minutes.

• Code Quality & Analysis: This bunch acts like an automated code reviewer. They scan your work for bugs, security holes, and performance issues long before they have a chance to make it to production. Some check your code before it runs, while others analyze how it performs in the real world.

• Testing & DevOps Automation: These tools tackle the often mind-numbing process of writing test classes and managing deployments. They can generate test scripts from user stories and automate chunks of your release pipeline.

The point of all this isn't to replace you. It's to handle the repetitive grunt work, freeing you up to focus on solving the tricky business problems that require a human brain.

How we chose the best AI tools for Salesforce developers for this list

So, how did these seven tools make the cut? I didn't just pull them out of a hat. I looked at a few key things that actually matter in a developer's day-to-day.

• Salesforce Specificity: Does the tool actually "speak" Salesforce? This means knowing Apex, LWC, SOQL, and, most importantly, the platform's governor limits. Generic models often "hallucinate" non-existent features or produce code that would fall over in a real org.

• IDE Integration: Let's be real, you live in your IDE. The best tools plug right into VS Code or Agentforce Vibes IDE (formerly Code Builder), so you don't have to constantly switch windows and break your flow.

• Core Functionality: Does the tool do its main job well? Whether that's generating code at lightning speed, doing deep security scans, or automating tests, I looked for tools that are at the top of their game in their specific area.

• User Feedback & Data Security: I spent some time lurking in developer communities to see which tools people are actually using and recommending. I also gave extra points to tools with clear data privacy policies, especially noting whether they use your code to train their models.

A quick comparison of the top AI tools for Salesforce developers

Tool	Best For	Starting Price	Key Feature
Agentforce for Developers	Native Salesforce tasks & test generation	Part of Agentforce platform (starts at $5/user/mo + credits)	Context-aware suggestions using your org's metadata
GitHub Copilot	Fast boilerplate & multi-language LWC development	Free, then from $10/month	Industry-leading real-time code suggestions in VS Code
ChatGPT & Claude	Debugging, explaining code & brainstorming	Freemium	Powerful conversational problem-solving and code generation
Windsurf (formerly Codeium)	Accurate Apex/LWC generation	Free (Individual plan)	Stronger Salesforce context than some general models
Salesforce Code Analyzer	Static code quality & security scans	Free	Enforces Salesforce best practices before deployment
ApexGuru	Optimizing runtime performance	Included with Scale Center	AI-driven code refactoring based on production telemetry
Copado Robotic Testing	Automated, AI-driven Salesforce testing	Contact Sales	AI-powered test generation from user stories

The 7 best AI tools for Salesforce developers

1. Agentforce for developers

First up is Salesforce's own player in the game. Agentforce for Developers (formerly Einstein for Developers), released in September 2024, is Salesforce's AI assistant. You can get it as an extension in the Salesforce Extension Pack (Expanded) for VS Code, and it comes pre-installed in Agentforce Vibes IDE. Since it's trained specifically on Salesforce languages with models like CodeGen2.5 and xGen-Code, it gets the platform in a way third-party tools just can't.

Why it's on the list: Its biggest strength is how it plugs into your org's context. The Dev Assistant feature uses your project's schema and metadata to make its suggestions incredibly relevant. It can spin up code from natural language, explain what a block of code does, and create test classes and documentation with simple slash commands like /test, /explain, and /document.

• Pros:

  • It’s built right into the Salesforce platform and understands your org's specific setup.
  • Fantastic for generating contextual Apex test classes and LWC.
  • Secure by default; your code is protected by the Einstein Trust Layer and is never used for training.

• Cons:

  • It’s still pretty new, and some devs feel it isn't quite as sharp as GitHub Copilot for really complex logic.
  • It only works within the Salesforce world, so don't expect it to help with your side projects.

• Pricing: It's part of the paid Agentforce platform. You'll need an Agentforce User License, which starts at $5/user/month and uses a pay-as-you-go "Flex Credits" model.

2. GitHub Copilot

Developed by GitHub and OpenAI, GitHub Copilot is the tool that really kicked off this whole AI pair programmer trend. It suggests code and entire functions as you type, right inside your IDE, and it's easily the most popular AI coding assistant out there.

Why it's on the list: You just can't beat its speed and versatility. It supports a huge range of languages, which makes it perfect for modern Salesforce development where you're often juggling more than just Apex. It's particularly good at writing the HTML, CSS, and JavaScript you need for Lightning Web Components.

• Pros:

  • It's a huge time-saver for writing boilerplate and repetitive code.
  • Great support for JavaScript, HTML, and CSS makes it a no-brainer for LWC development.
  • Fits perfectly into VS Code and other popular IDEs.

• Cons:

  • It isn't Salesforce-specific, so it can sometimes suggest code that ignores governor limits or uses wonky Apex syntax.
  • You still have to be the senior developer in the room and check its work carefully.

• Pricing: GitHub Copilot has a few tiers. The Free plan gives you up to 2,000 completions a month. The Pro plan ($10/month) gives you unlimited completions and access to better models.

3. ChatGPT & Claude

You probably already know these two. The large language models from OpenAI and Anthropic have become the go-to brainstorming buddies for developers everywhere. While they don't live in your IDE, they're fantastic for tasks that need a bit more discussion or creative thinking.

Why they're on the list: This is where you go when you're stuck and need to talk a problem out. Stuck on some weird logic? Paste it in and ask for help. Need to translate business requirements into pseudocode? They can do that. Want to generate a complex formula field from a simple description? No problem. The latest models, like OpenAI's GPT-5.2 series and Anthropic's Claude 4.5 family, are seriously capable. Many devs on Reddit say Claude is particularly good at producing clean Apex and LWC code.

• Pros:

  • Great at breaking down tough concepts, debugging logic, and writing documentation.
  • Can generate high-quality code snippets, SOQL queries, and formula fields.
  • Their business plans guarantee that your data isn't used for model training, which is a big deal for protecting company IP.

• Cons:

  • The downside is the copy-paste dance between your IDE and the browser.
  • They can "hallucinate" and confidently give you code that's flat-out wrong.
  • The free and consumer plans might use your data for training unless you opt out.

• Pricing: Both have solid free tiers. ChatGPT Plus and Claude Pro will run you about $20/month.

4. Windsurf (formerly Codeium)

Windsurf is an AI coding tool that is quickly becoming a favorite in the Salesforce community for its accuracy. Like the bigger players, it offers autocomplete and chat features inside your IDE, but a lot of developers have been surprised by how well it handles Salesforce languages.

Why it's on the list: In a world of general-purpose tools, Windsurf gets a shout-out for how well it performs with Salesforce code. Spend five minutes on Reddit, and you'll find devs who swear it generates more accurate Salesforce code than other models, with a better handle on Apex syntax and common patterns. That often means less time spent fixing the AI's mistakes.

• Pros:

  • Often produces more accurate and usable Salesforce code than the generalist models.
  • Has a very generous free plan for individual developers.
  • Gives you both autocomplete and a chat helper right in your IDE.

• Cons:

  • It's not as well-known or widely used as GitHub Copilot.
  • Like any AI tool, you still need to double-check everything it suggests.

• Pricing: It's free for individual developers, with paid plans for teams.

5. Salesforce Code Analyzer & ApexGuru

Shipping code is great, but shipping good code is what keeps you employed. Salesforce has two different but powerful tools to help with that: Code Analyzer for checking code before it runs, and ApexGuru for checking it after.

Why they're on the list: These tools help you build apps that are secure, efficient, and won't fall over at scale.

• Salesforce Code Analyzer is a free, open-source tool that scans your code before you even run it. You can use it as a CLI plugin or a VS Code extension. Think of it as an automated code reviewer that catches things like security flaws or SOQL queries in loops before they become a production nightmare.

• ApexGuru is an AI feature in Scale Center that looks at how your code is actually behaving in production. It finds the real performance hogs and suggests specific fixes, helping you focus on the problems that matter most. It even links up with the Code Analyzer extension to show you these insights right in your editor.

• Pros:

  • Code Analyzer is an easy way to enforce Salesforce coding best practices.
  • ApexGuru uses real production data to find the most important performance issues.
  • Both are native Salesforce tools built for the platform.

• Cons:

  • Code Analyzer can sometimes flag things that aren't actually problems (false positives).
  • The catch with ApexGuru is that you need Scale Center, which is only available in Unlimited Edition orgs and full-copy sandboxes.

• Pricing: Salesforce Code Analyzer is free. ApexGuru is included for Scale Center customers.

6. Copado Robotic Testing

Copado Robotic Testing is an AI-powered testing tool made just for Salesforce. The really cool part is its Test Copilot and TestAgent features, which use AI to read user stories written in plain English and automatically spit out the test scripts.

Why it's on the list: Let's face it, testing can be a huge drag and a major project bottleneck. Copado uses AI to automate this step, helping teams ship features faster and with more confidence. Its tests can even "self-heal," meaning they adapt to small UI or metadata changes. This means you spend way less time fixing broken tests.

• Pros:

  • Turns user stories directly into automated tests.
  • Cuts down on manual testing and the time spent maintaining test scripts.
  • Plugs right into a Salesforce DevOps and CI/CD workflow.

• Cons:

  • It's an enterprise tool, and the setup can be a bit involved.
  • The pricing isn't public, which usually means it's a serious investment.

• Pricing: You have to contact Copado for a custom quote.

7. eesel

Okay, so all the tools we've talked about help you build stuff. But what happens after you ship? That's where eesel comes in. It's an AI platform made to support the users of your applications. It connects to your knowledge bases (like Confluence or past Jira tickets) and helpdesks (like Zendesk) to automate customer service and internal support.

Why it's on the list: A good developer knows their job doesn't end at deployment. Instead of getting your team stuck building and maintaining an internal support bot (which nobody wants to do), you can use a platform built for the job. For developers, the best part about eesel is that you can create custom actions and call external APIs, letting your custom apps connect directly to the support workflow.

• Pros:

  • Saves you from having to build and maintain internal support tools.
  • It works with the tools your team already uses, like Jira and Slack.
  • Gives developers API hooks to connect their custom apps to the support flow.

• Cons:

  • This isn't a code-writing tool; it’s for handling the user support side of things.

• Pricing: Starts at $239 per month (billed annually) for the Team plan, and they offer a 7-day free trial.

Tips for getting the most out of your AI tools for Salesforce developers

Using these tools well means tweaking your workflow a bit. Here are a few pointers to get the most out of them. We've summarized these key strategies in the infographic below.

• Be specific with your prompts: Don't just say "write a trigger." Give the AI some details. For example: "Write an Apex trigger on the Opportunity object that prevents the StageName from being changed to 'Closed Lost' if a custom field 'Final_Approval__c' is false."

• Give it some context: You'll get much better results if you feed the AI existing code, SObject definitions, or links to relevant docs. Treat it like a junior dev you need to bring up to speed.

• Don't trust, verify: Seriously, never just copy and paste AI-generated code into production. That’s a recipe for disaster. Always review it for logic errors, security flaws, and governor limits. Think of it as an assistant, not an oracle.

• Think bigger than just the code: While you're focused on the core logic, think about how platforms like eesel can handle the user support side. That saves your team dev time that can be spent on building new features.

Code Faster, Better with AI Tools for Salesforce Developers

Your new workflow with AI tools for Salesforce developers

The right AI tool can really change how you approach Salesforce development, saving you time on boilerplate, helping you write better code, and automating tedious tasks like testing.

For most developers, the best setup will probably be a mix of tools: Agentforce for Developers for native Salesforce work, GitHub Copilot for raw speed, a conversational AI like Claude for brainstorming, and Salesforce Code Analyzer and ApexGuru to make sure everything is solid.

As you start shipping features faster, you know what happens next: more user questions. Don't let your dev team get pulled into building and managing helpdesks. eesel provides an autonomous AI platform that can handle frontline support and plugs into the tools you're already using. Start your free 7-day trial today.