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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
- The five key drivers of outcome quality: model choice, codebase context, tooling, prompt precision, and workflow design
- Why separating planning, execution, and review phases yields superior results compared to single-prompt approaches
- A decision framework to guide your activities throughout the day
10:00 – 10:45 — Module 2: From Autocomplete to Agent: The Claude Code Paradigm
- Distinguishing Claude Code from Copilot, Cursor, and chat-based tools — and understanding why this distinction is critical
- 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 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 through delegation
- MCP: Connecting external tools — GitHub, databases, internal APIs — while maintaining security boundaries
- Hands-on practice: 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 results: Knowing when to accept output and 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
- Conducting multi-file reviews with full traceability — tracking changes, rationale, and verification steps
- Hands-on exercise: Reviewing real code contributed by participants
14:45 – 15:45 — Case Study 3: Designing with Claude Code
- Generating architecture decisions and Architectural Decision Records (ADRs) from project 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 three actionable commitments each participant makes moving forward
- Open Q&A session
Requirements
- Strong proficiency in at least one programming language
- Comfort with terminal / command line environments
- Fundamental Git knowledge (commits, branches, pull requests)
- Laptop with internet access — a Claude Pro account is required (setup instructions provided upon registration)
7 Hours
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
