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Duration 14 hours
Course Outline
Introduction
- Recap 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 defining appropriate content
- Configuring settings files, permission modes, and allowlists
- Practical exercise: Configuring a sample repository
Subagents
- Identifying scenarios suitable for delegation to subagents
- Defining specific roles, prompts, and tool access permissions
- Practical exercise: Developing a reviewer and a test writer subagent
Hooks
- Exploring hook events and standard use cases
- Blocking unsafe actions and enforcing coding standards
- Practical exercise: Implementing automatic formatting and testing on every change
Skills, Commands, and Plugins
- Crafting reusable Skills and slash commands
- Bundling and sharing plugins across a team
- Practical exercise: Packaging a collaborative team workflow
MCP Integration
- Overview of MCP and optimal usage scenarios
- Connecting to issue trackers, databases, and documentation systems
- Evaluating trust and security considerations
Automation and CI
- Utilizing headless mode and scripting capabilities
- Integrating Claude Code into pull request workflows
- Managing costs, limits, and monitoring metrics
Best Practices
- Strategies for reviewing generated code
- Identifying common failure modes and mitigation strategies
- Creating a team rollout checklist
Requirements
- Consistent daily programming experience in at least one language
- Familiarity with terminal operations 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
