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Duration 14 hours
Course Outline
Introduction
- Recap: 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 inclusion
- Managing settings files, permission modes, and allowlists
- Exercise: Configuring a sample repository
Subagents
- Determining when to delegate tasks to subagents
- Defining roles, prompts, and tool access rights
- Exercise: Building a reviewer subagent and a test-writing subagent
Hooks
- Understanding hook events and their typical applications
- Preventing unsafe actions and enforcing organizational standards
- Exercise: Automating formatting and testing on every change
Skills, Commands, and Plugins
- Creating reusable Skills and slash commands
- Bundling and distributing plugins within a team environment
- Exercise: Packaging a specific team workflow
MCP Integration
- Overview of MCP and scenarios for its application
- Linking issue trackers, databases, and documentation sources
- Addressing trust and security considerations
Automation and CI
- Utilizing headless mode and scripting capabilities
- Integrating Claude Code into pull request workflows
- Managing costs, usage limits, and monitoring
Best Practices
- Evaluating and reviewing generated code
- Identifying common failure modes and strategies to prevent them
- Checklist for rolling out the tool to a team
Requirements
- Regular programming experience in at least one programming language
- Familiarity with terminal usage and Git workflows
- Initial hands-on experience with Claude Code or comparable coding assistants
Intended Audience
- Software developers and engineers who use Claude Code on a daily basis
- Tech leads and platform engineers responsible for establishing shared team standards
- DevOps and QA engineers looking to automate routine 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
