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 usage
- Common challenges encountered at the team level
Project Memory and Configuration
- The CLAUDE.md hierarchy and best practices for content inclusion
- Managing 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 permissions
- Exercise: Building a reviewer and a test writer subagent
Hooks
- Understanding hook events and common use cases
- Blocking unsafe actions and enforcing coding standards
- Exercise: Automating formatting and testing on every change
Skills, Commands, and Plugins
- Developing reusable Skills and slash commands
- Bundling and distributing plugins across the team
- Exercise: Packaging a specific team workflow
MCP Integration
- Understanding MCP and its appropriate application scenarios
- Connecting to issue trackers, databases, and documentation systems
- Addressing 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
Best Practices
- Strategies for reviewing generated code
- Identifying common failure modes and mitigation strategies
- Checklist for team rollout
Requirements
- Consistent daily programming experience in at least one language
- Familiarity with terminal commands 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 on a regular basis
- Tech leads and platform engineers responsible for establishing shared team standards
- 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
