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Duration 14 hours
Course Outline
Introduction
- Recap: agentic coding loop, context and tools
- Typical problems at team level
Project memory and configuration
- CLAUDE.md hierarchy and what belongs in it
- Settings files, permission modes and allowlists
- Exercise: configure a sample repository
Subagents
- When to delegate to a subagent
- Defining roles, prompts and tool access
- Exercise: build a reviewer and a test writer subagent
Hooks
- Hook events and typical use cases
- Blocking unsafe actions and enforcing standards
- Exercise: auto-format and test on every change
Skills, commands and plugins
- Writing reusable Skills and slash commands
- Bundling and sharing plugins in a team
- Exercise: package a team workflow
MCP integration
- What MCP is and when to use it
- Connecting issue trackers, databases and documentation
- Trust and security considerations
Automation and CI
- Headless mode and scripting
- Using Claude Code in pull request workflows
- Costs, limits and monitoring
Working practices
- Reviewing generated code
- Common failure modes and how to avoid them
- Team rollout checklist
Requirements
- Daily programming experience in at least one language
- Terminal and Git workflow experience
- First hands-on experience with Claude Code or a similar coding assistant
Audience
- Software developers and engineers using Claude Code regularly
- Tech leads and platform engineers who set up shared standards for a team
- DevOps and QA engineers who want to automate recurring engineering tasks
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3200 € + VAT*
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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
