Master Claude Code, MCP, and Agent Workflows for AI-Driven Salesforce Development from Scratch to Create Your Agent Team
Claude Code for Salesforce Development: MCP & Agent Workflows
What you’ll learn
- Master Claude Code for Salesforce Development from fundamentals to advanced agent workflows.
- Understand and optimize context, tokens, and scope for efficient AI-driven Salesforce development.
- Build Apex classes, Validation Rules, Flows, and LWCs using Claude Code.
- Generate Lightning Web Components from image mockups using AI.
- Manage project memory effectively using CLAUDE. md for structured development.
- Create and use custom slash commands to improve productivity and reusability.
- Implement safe automation using permissions and settings . json in Claude Code.
- Use checkpoints and rollback features for controlled AI-assisted development.
- Integrate Salesforce, Jira, and GitHub using MCP for end-to-end workflows.
- Read Jira stories, deploy to Salesforce, create branches, and raise pull requests using Claude.
- Design and build specialized Salesforce Sub Agents in Claude Code.
- Create and orchestrate a multi-agent Salesforce team to deliver a complete user story.
Course Content
- Introduction –> 2 lectures • 6min.
- Setting up Claude Code for Salesforce Development –> 3 lectures • 28min.
- Hands-On Salesforce Development with Claude Code –> 4 lectures • 40min.
- Advanced Workflows with Claude Code –> 7 lectures • 1hr 20min.
- Claude Code Integrations with MCP –> 4 lectures • 1hr 3min.
- Building Salesforce Agent Teams with Claude Code –> 4 lectures • 1hr 26min.
Requirements
Claude Code for Salesforce Development: MCP & Agent Workflows
Salesforce development is evolving.
This course teaches you how to move beyond basic prompting and start building production-grade AI workflows inside real Salesforce projects using Claude Code.
This is a complete, end-to-end guide to mastering Claude Code for Salesforce development, from fundamentals to building a coordinated Salesforce Agent Team that can deliver a full user story.
If you are a Salesforce Developer, Salesforce Admin, Technical Architect, or AI enthusiast working in the Salesforce ecosystem, this course will show you how to leverage Claude Code, MCP (Model Context Protocol), and multi-agent systems to build faster, smarter, and more structured workflows.
What You Will Learn
Foundation and Setup
- What Claude Code is and how it works inside a terminal-first workflow
- Step-by-step setup of Claude Code for Salesforce DX projects
- Essential slash commands and custom commands
- Efficient context management and token optimization
- Plan Mode vs Edit Mode and structured AI reasoning
Core Salesforce Development with Claude Code
- Building Apex classes including Batch Apex
- Creating Validation Rules and Record-Triggered Flows
- Managing CLAUDE. md memory for persistent project context
- Using image mockups to generate Lightning Web Components
- Understanding Context, Tokens, Scope, and best practices for LLM-driven development
- Checkpoints and rollback strategies for safe AI-assisted coding
- Permission management using settings json for secure automation
Advanced AI Workflows and Productivity
- Building reusable custom slash commands
- Running Claude safely with controlled read and write permissions
- Designing structured AI workflows instead of ad-hoc prompts
- Optimizing token usage and reducing unnecessary context consumption
MCP (Model Context Protocol) and Enterprise Integrations
- Introduction to MCP architecture
- Enabling Salesforce MCP for intelligent deployments
- Connecting Claude Code with Salesforce, Jira, and GitHub
- Reading Jira user stories directly from Claude
- Creating Git branches and raising Pull Requests automatically
- Executing end-to-end workflows across multiple enterprise systems
This course teaches real-world DevOps workflows integrated with Salesforce DX, GitHub repositories, and Jira-based agile processes.
Multi-Agent Systems and Salesforce Agent Teams
- Understanding Sub Agents in Claude Code
- Creating specialized Salesforce agents (Design, Admin, Dev)
- Defining workflows using claude . md
- Scaling from a core team to a 7-Agent Salesforce architecture
- Coordinating Design, Development, Testing, Code Review, DevOps, and Documentation agents
- Delivering a complete Salesforce user story using shared memory and structured collaboration
You will learn how to architect and orchestrate AI-driven Salesforce teams using modern agent-based workflows.
Why This Course Is Different
This is not just another AI tutorial.
It focuses specifically on:
- Salesforce DX development
- Apex and Flow automation
- Lightning Web Components
- Enterprise Git workflows
- Agile Jira integration
- AI agent architecture
- Context engineering
- Token-efficient AI workflows
By the end of this course, you will be able to:
- Use Claude Code professionally inside Salesforce projects
- Connect Salesforce, GitHub, and Jira using MCP
- Optimize context and token usage
- Build reusable slash commands
- Implement safe automation permissions
- Design and deploy multi-agent Salesforce systems
- Deliver real user stories using AI coordination
Who This Course Is For
- Salesforce Developers who want to integrate AI into their daily workflow
- Salesforce Admins exploring automation and AI-assisted configuration
- Technical Architects designing AI-enabled enterprise workflows
- DevOps engineers working with Salesforce DX and GitHub
- Anyone interested in Agentic AI within the Salesforce ecosystem
AI-driven development is the future of Salesforce.
This course shows you how to implement it correctly.
If you are ready to move from basic AI prompts to production-grade AI workflows and agent-based Salesforce systems, this course is for you.