Build Salesforce Agentforce using Agent Script in Visual Studio Code
Summary
Salesforce Agentforce lets developers build AI-powered autonomous agents that simplify complex workflows directly within Visual Studio Code. This guide shows how to manage Agentforce agents locally—from extracting existing agents from your Salesforce org, to creating new ones using commands, validating them instantly, previewing, and publishing—all inside VS Code. By adopting source-driven development with Git integration and modular agent design, Salesforce teams can build scalable AI automations that fit into existing Apex and Lightning Web Component projects. Following best practices like version control, testing before publishing, and respecting security contexts helps ensure smooth deployments and maintainable AI agents.
Takeaways
- Extract existing Agentforce agents using Org Browser or package.xml in VS Code.
- Create new agents quickly with AFDX: Create Agent command.
- Validate Agent Script locally via AFDX validation to catch errors early.
- Preview agents before publishing to test AI behavior within VS Code.
- Commit AiAuthoringBundle metadata to Git for version control and CI/CD.
Build Salesforce Agentforce Using Agent Script in Visual Studio Code: A Developer’s Guide The era of AI-driven automation in Salesforce is here. For Salesforce Developers, Architects, and Admins, Salesforce Agentforce represents a massive leap forward in building intelligent, autonomous agents that can execute complex workflows. While declarative tools are great, developers love to develop using an IDE like Visual Studio Code (VS Code). Working locally in an IDE allows for robust version control, seamless integrations, and a faster coding experience using Agent Script . In this technical guide, we will walk you through how to extract, create, validate, publish, and preview Salesforce Agentforce agents directly within Visual Studio Code.