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
- Five key factors influencing outcomes: model selection, codebase context, tooling, prompt precision, and workflow structure
- The benefits of separating planning, execution, and review stages versus 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
- Differentiating Claude Code from Copilot, Cursor, and chat-based tools — and understanding the implications
- The agentic cycle: read, plan, act, verify
- Live demonstration: executing a multi-file task from a single command
10:45 – 12:15 — Module 3: Setup & Personalisation: CLAUDE.md, Skills, Hooks, Agents & MCP
- CLAUDE.md: encoding project memory, architecture rules, and team conventions
- Skills and hooks: building reusable slash-command workflows and event-driven automation
- Sub-agents: how Claude Code manages parallel work internally
- MCP: connecting external tools — such as GitHub, databases, and internal APIs — while maintaining security boundaries
- Hands-on: configuring Claude Code and tailoring your personal setup
12:15 – 12:45 — Lunch Break
12:45 – 13:45 — Case Study 1: Writing Code with Claude Code
- Delegating implementation tasks with clear context and acceptance criteria
- Iterating on results: knowing when to accept outputs or redirect the process
- Hands-on: implementing a real feature from start to finish
13:45 – 14:45 — Case Study 2: Performing Code Review with Claude Code
- Structuring review delegations focused on security, design, and performance
- Conducting multi-file reviews with traceability — tracking changes, rationale, and verification steps
- Hands-on: reviewing actual code submissions from participants
14:45 – 15:45 — Case Study 3: Designing with Claude Code
- Generating architecture decisions and Architecture Decision Records (ADRs) based on requirements
- Evaluating design alternatives and identifying trade-offs
- Hands-on: designing a component or feature using Claude Code
15:45 – 16:15 — Recap & Q&A
- Summary of key takeaways and commitment to three concrete actions each participant will implement
- Open question-and-answer session
Requirements
- Proficiency in at least one programming language
- Familiarity with terminal/command-line environments
- Basic Git skills (commits, branches, pull requests)
- A laptop with internet access — a Claude Pro account is required (registration instructions will be provided)
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
