Course Outline
09:00 – 09:15 — Welcome & Overview
- Day objectives, technical setup verification, and introductions
09:15 – 10:00 — Module 1: AI Code Quality & the Plan–Execute–Review Principle
- The five key factors influencing outcomes: model selection, codebase context, tooling, prompt precision, and workflow design
- Why separating planning, execution, and review phases yields superior results compared to relying on a single prompt
- A decision framework to guide activities throughout the day
10:00 – 10:45 — Module 2: From Autocomplete to Agent: The Claude Code Paradigm
- Understanding how Claude Code differs from tools like Copilot, Cursor, and chat-based assistants—and why this distinction is crucial
- The agentic cycle: read, plan, act, verify
- Live demonstration: managing a multi-file task via a single instruction
10:45 – 12:15 — Module 3: Setup & Personalisation: CLAUDE.md, Skills, Hooks, Agents & MCP
- CLAUDE.md: Encoding project memory, architectural rules, and team conventions
- Skills and hooks: Creating reusable slash-command workflows and event-driven automation
- Sub-agents: Understanding how Claude Code manages parallel work internally
- MCP: Connecting external tools (GitHub, databases, internal APIs) while establishing security boundaries
- Hands-on activity: Configuring Claude Code and customizing your personal setup
12:15 – 12:45 — Lunch Break
12:45 – 13:45 — Case Study 1: Writing Code with Claude Code
- Delegating implementation tasks by providing context and clear acceptance criteria
- Iterating on generated results: knowing when to accept output versus when to redirect the agent
- Hands-on activity: Implementing a real feature from start to finish
13:45 – 14:45 — Case Study 2: Conducting Code Review with Claude Code
- Structuring review delegations focused on security, design, and performance
- Performing multi-file reviews with full traceability—understanding what changed, why it changed, and what needs verification
- Hands-on activity: Reviewing actual code contributed by participants
14:45 – 15:45 — Case Study 3: Designing with Claude Code
- Generating architectural decisions and Architecture Decision Records (ADRs) from project requirements
- Exploring design alternatives and identifying potential trade-offs
- Hands-on activity: Designing a component or feature using Claude Code
15:45 – 16:15 — Recap & Q&A
- Summary of key takeaways and identification of three concrete actions each participant will commit to implementing
- Open question-and-answer session
Requirements
- Proficient experience in at least one programming language
- Comfort level working within a terminal or command-line environment
- Fundamental understanding of Git concepts (commits, branches, pull requests)
- A laptop with an internet connection. A Claude Pro account is required (detailed instructions will be provided upon registration)
Testimonials (3)
Using Claude Code in a more efficient way
Virgil Trif - Frequentis
Course - Claude Code: Agentic AI Development · 1-Day
claude mcp, how to promote and sell AI created software
Precup Andrei - Frequentis
Course - Claude Code: Agentic AI Development · 1-Day
The workshop to build an app
