Course Outline
09:00 – 09:15 — Welcome & Overview
- Day’s 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 decoupling planning, execution, and review phases yields superior results compared to relying on a single prompt
- A decision-making framework to guide the remainder of the day
10:00 – 10:45 — Module 2: From Autocomplete to Agent: The Claude Code Paradigm
- How Claude Code differs from tools like Copilot, Cursor, and standard chat-based assistants — and why this distinction is critical
- The agentic cycle: read, plan, act, verify
- Live demonstration: executing a multi-file task from a single prompt
10:45 – 12:15 — Module 3: Setup & Personalisation: CLAUDE.md, Skills, Hooks, Agents & MCP
- CLAUDE.md: encoding project memory, architectural guidelines, and team conventions
- Skills and hooks: creating reusable slash-command workflows and event-driven automation
- Sub-agents: understanding how Claude Code internally delegates parallel work
- MCP: connecting external tools — such as GitHub, databases, and internal APIs — while establishing secure 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 and when to redirect focus
- Hands-on exercise: building a complete 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 integrity, and performance
- Conducting multi-file reviews with traceability — understanding what changed, why it matters, and what needs verification
- Hands-on exercise: reviewing actual code contributed by participants
14:45 – 15:45 — Case Study 3: Designing with Claude Code
- Generating architecture decisions and Architecture Decision Records (ADRs) derived from requirements
- Exploring alternative designs and identifying key trade-offs
- Hands-on exercise: designing a component or feature using Claude Code
15:45 – 16:15 — Recap & Q&A
- Summary of key takeaways and three actionable commitments each participant will make
- Open floor for questions
Requirements
- Strong proficiency in at least one programming language
- Comfort with terminal or command-line environments
- Fundamental Git knowledge (commits, branches, pull requests)
- A laptop with internet access — a Claude Pro account is mandatory (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
