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Duration 14 hours
Course Outline
Introduction
- Review of the agentic coding loop, context management, and tool usage
- Common challenges encountered at the team level
Project Memory and Configuration
- Understanding the CLAUDE.md hierarchy and determining appropriate content
- Configuring settings files, permission modes, and allowlists
- Practical exercise: setting up a sample repository
Subagents
- Identifying when to delegate tasks to a subagent
- Defining roles, prompts, and tool access parameters
- Practical exercise: creating a code reviewer and a test writer subagent
Hooks
- Understanding hook events and common use cases
- Preventing unsafe actions and enforcing team standards
- Practical exercise: implementing auto-formatting and testing on every change
Skills, Commands, and Plugins
- Creating reusable Skills and slash commands
- Bundling and sharing plugins across a team
- Practical exercise: packaging a team-specific workflow
MCP Integration
- Overview of MCP and scenarios for its application
- Linking issue trackers, databases, and documentation resources
- 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 performance
Best Practices
- Strategies for reviewing generated code
- Identifying common failure modes and mitigation strategies
- Developing a checklist for team rollout
Requirements
- Consistent daily programming experience in at least one programming language
- Proficiency with terminal commands and Git workflows
- Foundational hands-on experience with Claude Code or comparable coding assistants
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 aiming 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
