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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
- Five key factors influencing outcomes: model selection, codebase context, tooling, prompt precision, and workflow design
- Why separating planning, execution, and review phases delivers superior results compared to single-prompt approaches
- A decision-making framework to guide the remainder of the day
10:00 – 10:45 — Module 2: From Autocomplete to Agent: The Claude Code Paradigm
- How Claude Code differs from tools like Copilot and Cursor, and why this distinction is critical
- The agentic cycle: read, plan, act, verify
- Live demonstration: managing 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 rules, and team conventions
- Skills and hooks: building reusable slash-command workflows and event-driven automation
- Sub-agents: understanding how Claude Code delegates parallel work internally
- MCP: connecting external tools — including GitHub, databases, and internal APIs — while establishing security boundaries
- Hands-on activity: 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
- Iterating on outputs: knowing when to accept suggestions and when to redirect efforts
- Hands-on activity: implementing a real feature end-to-end
13:45 – 14:45 — Case Study 2: Performing Code Review with Claude Code
- Structuring review delegations focused on security, design, and performance
- Conducting multi-file reviews with traceability — understanding what changed, why it changed, and what needs verification
- Hands-on activity: reviewing actual code contributed by participants
14:45 – 15:45 — Case Study 3: Designing with Claude Code
- Generating architectural decisions and Architectural Decision Records (ADRs) from requirements
- Exploring design alternatives and identifying trade-offs
- Hands-on activity: designing a component or feature using Claude Code
15:45 – 16:15 — Recap & Q&A
- Key takeaways and three concrete action items each participant commits to implementing
- Open question-and-answer session
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Requirements
- Proven proficiency in at least one programming language
- Familiarity with working in a terminal or command-line environment
- Fundamental Git knowledge (commits, branches, pull requests)
- Laptop with internet access — Claude Pro account required (detailed 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
