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Duration 14 hours
Course Outline
Introduction
- Review: The agentic coding loop, context management, and tool utilization
- Common challenges encountered at the team level
Project Memory and Configuration
- The CLAUDE.md hierarchy and determining appropriate content
- Configuration files, permission modes, and allowlists
- Practical exercise: Configuring a sample repository
Subagents
- Identifying scenarios suitable for delegating tasks to a subagent
- Defining roles, prompts, and tool access permissions
- Practical exercise: Developing a reviewer and a test-writing subagent
Hooks
- Hook events and common application scenarios
- Preventing unsafe actions and enforcing coding standards
- Practical exercise: Implementing automatic formatting and testing on every change
Skills, Commands, and Plugins
- Creating reusable Skills and slash commands
- Sharing and bundling plugins across a team
- Practical exercise: Packaging a standardized team workflow
MCP Integration
- Overview of MCP and its ideal use cases
- Linking issue trackers, databases, and documentation sources
- Addressing trust and security considerations
Automation and CI
- Utilizing headless mode and scripting capabilities
- Incorporating Claude Code into pull request workflows
- Managing costs, usage limits, and monitoring
Best Practices
- Effective strategies for reviewing generated code
- Identifying common failure modes and mitigation strategies
- Checklist for successful team rollout
Requirements
- Consistent programming experience in at least one language
- Familiarity with terminal usage and Git workflows
- Prior hands-on experience with Claude Code or a comparable coding assistant
Target Audience
- Software developers and engineers who utilize Claude Code regularly
- Tech leads and platform engineers responsible for establishing shared team standards
- DevOps and QA engineers seeking to automate repetitive 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
