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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 decoupling planning, execution, and review yields superior results compared to single-prompt approaches
  • A decision-making framework applicable 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: Understanding how Claude Code handles parallel work internally
  • MCP: Connecting external tools (GitHub, databases, internal APIs) while maintaining security boundaries
  • Hands-on: Configuring Claude Code and customizing your personal setup

12:15 – 12:45 — Lunch Break

12:45 – 13:45 — Case 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: Implementing a real feature from start to finish

13:45 – 14:45 — Case 2: Performing Code Reviews with Claude Code

  • Structuring review delegations covering security, design, and performance aspects
  • Conducting multi-file reviews with full traceability — tracking changes, rationale, and verification points
  • Hands-on: Reviewing actual code contributed by participants

14:45 – 15:45 — Case 3: Designing with Claude Code

  • Generating architecture decisions and Architectural Decision Records (ADRs) from requirements
  • Exploring design alternatives and identifying trade-offs
  • Hands-on: Designing a component or feature using Claude Code

15:45 – 16:15 — Recap & Q&A

  • Summary of key takeaways and three concrete action items each participant will commit to
  • Open Q&A session
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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 connectivity — a Claude Pro account is required (registration instructions will be sent separately)
 7 Hours

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