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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 factors influencing output quality: model selection, 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-making framework to guide the rest of 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 this distinction is critical
- The agentic cycle: read, plan, act, verify
- Live demonstration: executing a multi-file task from a single command
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 automations
- Sub-agents: how Claude Code internally manages parallel workloads through delegation
- MCP: connecting external tools—including GitHub, databases, and internal APIs—while establishing security boundaries
- Hands-on exercise: configuring Claude Code and personalizing your 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
- Ideally iterating on results: knowing when to accept outputs versus when to redirect the agent
- Hands-on exercise: implementing a real feature end-to-end
13:45 – 14:45 — Case Study 2: Conducting Code Reviews with Claude Code
- Structuring review delegations across security, design, and performance dimensions
- Multi-file reviews with full traceability—understanding what changed, why it changed, and what to verify
- Hands-on exercise: reviewing actual code submitted by participants
14:45 – 15:45 — Case Study 3: Designing with Claude Code
- Generating architecture decisions and Architectural Decision Records (ADRs) from 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 concrete actions each participant commits to implementing
- Open Q&A session
Requirements
- Proven expertise in at least one programming language
- Proficiency with terminal/command-line environments
- Fundamental Git knowledge (commits, branches, pull requests)
- A laptop with internet access—requires a Claude Pro account (registration instructions will be sent upon sign-up)
7 Hours
Testimonials (1)
"I learned the potential of the tool and gained sufficient skills to start using it for my work right away
