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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 drivers of output quality: model selection, codebase context, tooling, prompt precision, and workflow design
  • Why decoupling planning, execution, and review phases 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

  • How Claude Code differs from Copilot, Cursor, and chat-based tools — and why these distinctions matter in practice
  • The agentic cycle: read, plan, act, verify
  • Live demonstration: executing a multi-file task from 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 internally delegates parallel tasks
  • MCP: integrating external tools — such as GitHub, databases, and internal APIs — while establishing security boundaries
  • Hands-on exercise: configuring Claude Code and tailoring your personal environment

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 generated results: knowing when to accept output versus when to provide feedback
  • Hands-on exercise: implementing a real feature end-to-end using Claude Code

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

  • Structuring review delegations focused on security, design integrity, and performance
  • Multi-file reviews with traceability — identifying what changed, why it changed, and what needs verification
  • Hands-on exercise: reviewing actual code submitted by participants

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

  • Generating architecture decisions and Architectural Decision Records (ADRs) based on 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 will implement
  • Open floor for questions
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Requirements

  • Proficient experience in at least one programming language
  • Comfortable navigating the terminal or command line
  • Familiarity with Git fundamentals (commits, branches, pull requests)
  • Laptop with internet access — a Claude Pro account is mandatory (setup instructions will be provided upon registration)
 7 Hours

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