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Duration 14 hours
Course Outline
Introduction
- Overview of the agentic coding loop, context management, and tool usage
- Common challenges encountered at the team level
Project Memory and Configuration
- The hierarchy of CLAUDE.md files and appropriate content inclusion
- Configuration files, permission modes, and allowlist management
- Practical exercise: Configuring a sample repository
Subagents
- Identifying scenarios suitable for subagent delegation
- Defining roles, prompts, and tool access permissions
- Practical exercise: Developing a reviewer and a test-writing subagent
Hooks
- Understanding hook events and common application cases
- Preventing unsafe actions and enforcing team standards
- Practical exercise: Implementing automatic formatting and testing on every change
Skills, Commands, and Plugins
- Creating reusable Skills and slash commands
- Bundling and distributing plugins across the team
- Practical exercise: Packaging a specific team workflow
MCP Integration
- Understanding MCP and determining its appropriate use cases
- Connecting to 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, limits, and monitoring metrics
Best Practices
- Evaluating generated code effectively
- Identifying common failure modes and mitigation strategies
- Team rollout checklist
Requirements
- Regular programming experience in at least one language
- Familiarity with terminal operations and Git workflows
- Initial hands-on experience with Claude Code or comparable coding assistants
Target Audience
- Software developers and engineers who utilize Claude Code on a daily basis
- Tech leads and platform engineers responsible for establishing shared team standards
- DevOps and QA engineers looking 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
