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Claude Code For Salesforce Development: Mcp & Agent Workflow
![]() Claude Code For Salesforce Development: Mcp & Agent Workflow Published 2/2026 Created by Salesforce Developer MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All Levels | Genre: eLearning | Language: English | Duration: 24 Lectures ( 5h 2m ) | Size: 3.88 GB 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 Who this course is for ■ All Salesforce Professional including Admin , Developers and Architects ■ Salesforce Professional who want to be be more Productive using AI in development Öèòàòà:
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