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
- Review: The agentic coding loop, context management, and tooling
- Common challenges encountered at the team level
Project Memory and Configuration
- The CLAUDE.md hierarchy and appropriate content inclusion
- Managing settings files, permission modes, and allowlists
- Exercise: Configuring a sample repository
Subagents
- Identifying scenarios where delegation to subagents is beneficial
- Defining roles, prompts, and tool access parameters
- Exercise: Building reviewer and test writer subagents
Hooks
- Understanding hook events and their typical applications
- Preventing unsafe actions and enforcing development standards
- Exercise: Automating formatting and testing upon every change
Skills, Commands, and Plugins
- Creating reusable Skills and slash commands
- Bundling and sharing plugins across teams
- Exercise: Packaging a team-specific workflow
MCP Integration
- Overview of MCP and its ideal use cases
- Connecting issue trackers, databases, and documentation sources
- 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 performance
Working Practices
- Strategies for reviewing generated code
- Identifying common failure modes and mitigation strategies
- Checklist for team-wide rollout
Requirements
- Regular programming experience in at least one language
- Familiarity with terminal commands and Git workflows
- Prior hands-on usage of Claude Code or comparable coding assistants
Target Audience
- Software developers and engineers who utilize 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
