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 utilization
- Common challenges encountered at the team level
Project Memory & Configuration
- Understanding the CLAUDE.md hierarchy and appropriate content scope
- Managing settings files, permission modes, and allowlists
- Practical exercise: Configuring a sample repository
Subagents
- Identifying scenarios suitable for subagent delegation
- Defining roles, prompts, and specific tool access rights
- Practical exercise: Creating a reviewer and a test writer subagent
Hooks
- Exploring hook events and common application scenarios
- Preventing unsafe actions and enforcing coding standards
- Practical exercise: Implementing automatic formatting and testing on every change
Skills, Commands & Plugins
- Developing reusable Skills and slash commands
- Bundling and distributing plugins across teams
- Practical exercise: Packaging a specific team workflow
MCP Integration
- Defining MCP and determining when to utilize it
- Connecting to issue trackers, databases, and documentation systems
- Addressing trust and security implications
Automation & CI
- Utilizing headless mode and scripting capabilities
- Incorporating Claude Code into pull request workflows
- Monitoring costs, limits, and performance
Best Practices
- Strategies for reviewing AI-generated code
- Identifying common failure points and mitigation strategies
- Checklist for rolling out changes across the team
Requirements
- Consistent daily programming proficiency in at least one language
- Proficiency with terminal operations and Git workflows
- Prior hands-on experience with Claude Code or comparable AI coding assistants
Target Audience
- Software developers and engineers actively integrating Claude Code into their daily routine
- Tech leads and platform engineers responsible for defining shared team standards
- DevOps and QA specialists 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
