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Duration 14 hours
Course Outline
Introduction
- Review: Agentic coding loops, context management, and tool usage
- Common challenges encountered at the team level
Project Memory and Configuration
- Understanding the CLAUDE.md hierarchy and appropriate content placement
- Settings files, permission modes, and allowlists
- Exercise: Configuring a sample repository
Subagents
- Determining when to delegate tasks to a subagent
- Defining roles, prompts, and tool access levels
- Exercise: Building reviewer and test writer subagents
Hooks
- Hook events and common use cases
- Preventing unsafe actions and enforcing coding standards
- Exercise: Automating formatting and testing on every change
Skills, Commands, and Plugins
- Creating reusable Skills and slash commands
- Bundling and sharing plugins within a team
- Exercise: Packaging a team workflow
MCP Integration
- Overview of MCP and scenarios for its application
- Connecting to issue trackers, databases, and documentation systems
- Considerations regarding trust and security
Automation and CI
- Headless mode and scripting capabilities
- Incorporating Claude Code into pull request workflows
- Managing costs, limits, and monitoring
Best Practices
- Strategies for reviewing generated code
- Identifying common failure modes and mitigation techniques
- Checklist for team rollout
Requirements
- Daily programming experience in at least one programming language
- Familiarity with terminal commands and Git workflows
- Prior hands-on experience using Claude Code or similar coding assistants
Audience
- Software developers and engineers who use Claude Code regularly
- Tech leads and platform engineers responsible for establishing shared team standards
- DevOps and QA engineers looking 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
