Published 2/2026
Created by Salesforce Developer
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 24 Lectures ( 5h 2m ) | Size: 3.88 GB
Master Claude Code, MCP, and Agent Workflows for AI-Driven Salesforce Development from Scratch to Create Your Agent Team
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
Requirements
● Basic understanding of Salesforce platform
● A computer capable of running Salesforce CLI and Claude Code
● No prior experience with Claude Code or MCP is required
Description
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
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