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Duration 14 hours
Course Outline
Introduction
- Refresher on the agentic coding loop, context management, and tool usage
- Common challenges encountered at the team level
Project Memory & Configuration
- Understanding the CLAUDE.md hierarchy and defining appropriate content
- Configuring settings files, permission modes, and allowlists
- Exercise: Configuring a sample repository
Subagents
- Identifying when to delegate tasks to a subagent
- Defining roles, prompts, and tool access rights
- Exercise: Building a code reviewer and a test writer subagent
Hooks
- Exploring hook events and common use cases
- Blocking unsafe actions and enforcing coding standards
- Exercise: Setting up auto-formatting and testing on every change
Skills, Commands & 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 its ideal use cases
- Connecting issue trackers, databases, and documentation systems
- Addressing trust and security considerations
Automation & CI
- Utilizing headless mode and scripting capabilities
- Incorporating Claude Code into pull request workflows
- Managing costs, limits, and performance monitoring
Best Practices
- Strategies for reviewing generated code
- Identifying common failure modes and mitigation techniques
- Checklist for effective team rollout
Requirements
- Regular programming experience in at least one language
- Proficiency with terminal navigation and Git workflows
- Prior hands-on experience using Claude Code or a comparable AI coding assistant
Target Audience
- Software developers and engineers who use Claude Code on a daily basis
- Tech leads and platform engineers responsible for establishing shared standards across teams
- DevOps and QA engineers seeking 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
