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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
- Understanding the CLAUDE.md hierarchy and appropriate content placement
- Managing settings files, permission modes, and allowlists
- Practical exercise: Configuring a sample repository
Subagents
- Identifying scenarios suitable for subagent delegation
- Defining roles, prompts, and tool access permissions
- Practical exercise: Creating subagents for review and test writing
Hooks
- Exploring hook events and common use cases
- Preventing unsafe actions and enforcing coding standards
- Practical exercise: Implementing automatic formatting and testing on changes
Skills, Commands and Plugins
- Developing reusable Skills and slash commands
- Creating and sharing plugins within a team environment
- Practical exercise: Packaging a team-specific workflow
MCP Integration
- Overview of MCP and its optimal application scenarios
- Integration with issue trackers, databases, and documentation systems
- Considerations regarding trust and security
Automation and CI
- Utilizing headless mode and scripting capabilities
- Incorporating Claude Code into pull request workflows
- Managing costs, limits, and system monitoring
Best Practices
- Strategies for reviewing generated code
- Identifying and mitigating common failure modes
- Checklist for team-wide deployment
Requirements
- Regular programming experience in at least one language
- Familiarity with terminal operations and Git workflows
- Initial practical experience with Claude Code or comparable coding assistants
Target Audience
- Software developers and engineers who utilize Claude Code as part of their daily workflow
- Technical leads and platform engineers responsible for establishing shared standards across teams
- 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
