Course Outline
09:00 – 09:15 — Welcome & Overview
- Daily 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 yields superior results compared to using a single prompt
- A decision-making framework to apply throughout the day
10:00 – 10:45 — Module 2: From Autocomplete to Agent: The Claude Code Paradigm
- How Claude Code differs from Copilot, Cursor, and chat-based tools — and why these distinctions are critical
- The agentic cycle: read, plan, act, verify
- Live demonstration: executing a multi-file task from 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: building reusable slash-command workflows and event-driven automation
- Sub-agents: understanding how Claude Code internally delegates parallel work
- MCP: integrating external tools (GitHub, databases, internal APIs) while establishing security boundaries
- Hands-on exercise: 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 with clear context and acceptance criteria
- Iterating on outputs: knowing when to accept results versus when to redirect the agent
- Hands-on exercise: implementing a real feature from start to finish
13:45 – 14:45 — Case Study 2: Conducting Code Review with Claude Code
- Structuring review delegations focusing on security, design, and performance
- Performing multi-file reviews with full traceability — understanding what changed, why, and what needs verification
- Hands-on exercise: reviewing actual code from participants
14:45 – 15:45 — Case Study 3: Designing with Claude Code
- Generating architectural decisions and Architecture Decision Records (ADRs) based on requirements
- Exploring design alternatives and identifying trade-offs
- Hands-on exercise: designing a component or feature using Claude Code
15:45 – 16:15 — Recap & Q&A
- Key takeaways and commitment to three actionable changes for each participant
- Open Q&A session
Requirements
- Proficient experience with at least one programming language
- Comfort using a terminal or command-line interface
- Familiarity with Git basics (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
