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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
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
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
