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 design
- The rationale for separating planning, execution, and review phases over relying on a single prompt
- A decision-making framework applicable throughout the day
10:00 – 10:45 — Module 2: From Autocomplete to Agent: The Claude Code Paradigm
- Understanding how Claude Code differs from Copilot, Cursor, and chat-based tools — and why these distinctions matter
- The agentic lifecycle: read, plan, act, verify
- Live demonstration: executing 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 guidelines, and team conventions
- Skills and hooks: creating reusable slash-command workflows and event-driven automation
- Sub-agents: understanding how Claude Code handles parallel work internally
- MCP: connecting external tools — GitHub, databases, internal APIs — while establishing security boundaries
- Hands-on exercise: configure Claude Code and customise your environment
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 acceptance criteria
- Iterating on results: determining when to accept or redirect output
- Hands-on exercise: implement 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
- Multi-file reviews with full traceability — understanding changes, rationale, and verification steps
- Hands-on exercise: review actual code contributed by participants
14:45 – 15:45 — Case Study 3: Designing with Claude Code
- Generating architecture decisions and Architectural Decision Records (ADRs) based on requirements
- Exploring design alternatives and identifying trade-offs
- Hands-on exercise: design a component or feature using Claude Code
15:45 – 16:15 — Recap & Q&A
- Key takeaways and three actionable commitments each participant will make
- Open Q&A session
Requirements
- Proficiency in at least one programming language
- Familiarity with terminal/command line operations
- Foundational knowledge of Git (commits, branches, pull requests)
- A laptop with internet access; a Claude Pro account is mandatory (registration details 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
