Course Outline
09:00 – 09:15 — Welcome & Overview
- Course 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 choice, codebase context, tooling, prompt precision, and workflow design
- Why separating planning, execution, and review stages yields superior results compared to single-prompt approaches
- A decision-making framework to guide your work 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 and Cursor, and why this distinction is crucial
- The agentic cycle: 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: building reusable slash-command workflows and event-driven automation
- Sub-agents: understanding how Claude Code internally delegates parallel tasks
- MCP (Model Context Protocol): connecting external tools such as GitHub, databases, and internal APIs while maintaining security boundaries
- Hands-on exercise: configuring Claude Code and personalizing your development 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 clear acceptance criteria
- Iterating on generated results: knowing when to accept output and when to redirect the agent
- Hands-on exercise: implementing a real-world feature from start to finish
13:45 – 14:45 — Case Study 2: Conducting Code Reviews with Claude Code
- Structuring review delegations focused on security, design patterns, and performance
- Conducting multi-file reviews with full traceability — understanding what changed, why, and what to verify
- Hands-on exercise: reviewing actual code submissions from participants
14:45 – 15:45 — Case Study 3: Designing with Claude Code
- Generating architecture decisions and Architectural Decision Records (ADRs) based on 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 commitment to three concrete improvements for each participant
- Open question-and-answer session
Requirements
- Proven proficiency in at least one programming language
- Comfort using a terminal or command-line interface
- Fundamental knowledge of Git (commits, branches, pull requests)
- A laptop with internet access and a Claude Pro account (setup 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