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Duration 14 hours
Course Outline
Introduction
- Review: The agentic coding loop, context management, and tools
- Common challenges faced at the team level
Project Memory and Configuration
- Understanding the CLAUDE.md hierarchy and appropriate content
- Managing settings files, permission modes, and allowlists
- Exercise: Configuring a sample repository
Subagents
- Determining when to delegate tasks to a subagent
- Defining roles, prompts, and tool access permissions
- Exercise: Building a reviewer and a test writer subagent
Hooks
- Hook events and common use cases
- Blocking unsafe actions and enforcing standards
- Exercise: Automatic formatting and testing on every change
Skills, Commands, and Plugins
- Creating reusable Skills and slash commands
- Bundling and sharing plugins within a team
- Exercise: Packaging a team workflow
MCP Integration
- Overview of MCP and scenarios for its use
- Connecting issue trackers, databases, and documentation
- Considerations regarding trust and security
Automation and CI
- Headless mode and scripting capabilities
- Incorporating Claude Code into pull request workflows
- Managing costs, limits, and monitoring
Best Practices
- Strategies for reviewing generated code
- Identifying common failure modes and mitigation strategies
- Checklist for team rollout
Requirements
- Daily programming experience in at least one language
- Proficiency with terminal and Git workflows
- Prior hands-on experience with Claude Code or similar coding assistants
Target Audience
- Software developers and engineers who regularly utilize Claude Code
- Tech leads and platform engineers responsible for establishing shared team standards
- DevOps and QA engineers seeking to automate recurring engineering tasks
Testimonials (1)
That i gained a knowledge regarding streamlit library from python and for sure i'll try to use it to improve applications in my team which are made in R shiny