Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Introduction
- Overview: The agentic coding loop, context management, and tool integration
- Common challenges at the team level
Project Memory and Configuration
- Understanding the CLAUDE.md hierarchy and appropriate content placement
- Managing settings files, permission modes, and allowlists
- Practical Exercise: Configuring a sample repository
Subagents
- Identifying when to delegate tasks to a subagent
- Defining roles, prompts, and tool access permissions
- Practical Exercise: Developing subagents for code review and test writing
Hooks
- Exploring hook events and common application scenarios
- Preventing unsafe actions and enforcing coding standards
- Practical Exercise: Implementing auto-formatting and testing on every change
Skills, Commands, and Plugins
- Creating reusable Skills and slash commands
- Bundling and distributing plugins within a team
- Practical Exercise: Packaging a specific team workflow
MCP Integration
- Understanding MCP and its optimal use cases
- Integrating 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, limits, and monitoring
Best Practices
- Critically reviewing generated code
- Identifying common failure modes and mitigation strategies
- Developing a team rollout checklist
Requirements
- Daily programming proficiency in at least one language
- Experience with terminal usage and Git workflows
- Prior hands-on exposure to Claude Code or comparable coding assistants
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 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
