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Duration 14 hours
Course Outline
Introduction
- Overview: The agentic coding loop, context management, and tooling
- Common challenges encountered at the team level
Project Memory and Configuration
- Understanding the CLAUDE.md hierarchy and appropriate content
- Managing settings files, permission modes, and allowlists
- Practical task: Configuring a sample repository
Subagents
- Identifying scenarios suitable for delegating to a subagent
- Defining roles, prompts, and tool access permissions
- Practical task: Building a reviewer and a test writer subagent
Hooks
- Hook events and common application scenarios
- Preventing unsafe actions and enforcing coding standards
- Practical task: Automating formatting and testing on every change
Skills, Commands, and Plugins
- Creating reusable Skills and slash commands
- Bundling and distributing plugins within a team
- Practical task: Packaging a team-specific workflow
MCP Integration
- Understanding MCP and its ideal use cases
- Connecting to issue trackers, databases, and documentation systems
- Addressing trust and security considerations
Automation and CI
- Utilizing headless mode and scripting capabilities
- Incorporating Claude Code into pull request workflows
- Managing costs, usage limits, and monitoring
Best Practices
- Strategies for reviewing AI-generated code
- Identifying common failure modes and mitigation strategies
- Checklist for successful team rollout
Requirements
- Consistent daily programming experience in at least one programming language
- Familiarity with terminal usage and Git workflows
- Prior hands-on experience with Claude Code or comparable AI coding assistants
Target Audience
- Software developers and engineers who utilize Claude Code on a regular basis
- Tech leads and platform engineers responsible for defining shared team standards
- 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
