Duration
8.0 hr(s) · 1 Day Intensive
Course Overview
AI Driven Development has fundamentally transformed how we design, write, and maintain applications. It is no longer just about code completion; it's about setting up a fleet of specialised AI agents to support the entire development cycle.
In this hands-on training, you will master the methodology required to integrate GitHub Copilot into your daily workflow, moving from manual implementation to high-level supervision. You'll work through agentic workflows, connect AI to external tools via the Model Context Protocol, and apply spec-driven development to large and legacy codebases.
Learning Objectives
1
Tooling Ecosystem
Understand the landscape of code generation models and the difference between IDE tools and CLI assistants.
2
Custom Agent Mastery
Learn how to create and configure custom agents for both the planning and implementation phases.
3
Legacy Modernization
Understand strategies for refactoring large codebases and bringing legacy systems up to modern standards.
4
External Integration
Master the use of Model Context Protocol (MCP) to connect AI to tools like Figma and PlayWright.
Course Outline
1
Introduction & Approaches
- Understanding Vibe Coding and AI-native development
- Tool integration vs. standalone CLI tools
2
Core Principles
- Setting up instruction and context files
- Supervising agent-driven code generation
- AI-driven unit test generation strategies
3
Agentic AI Workflows
- Automating documentation as you code
- Integrating SonarQube and ArchUnit with LLMs
- Refactoring patterns for large codebases
4
MCP & External Systems
- Design-to-code workflows with Figma
- Automated test generation with PlayWright
5
Spec Driven Development
- Mapping software specs to automated generation
- Using Spec Driven Development frameworks
Certificate Obtained and Conferred by
z
Certificate of Completion from Zenika
Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Zenika.
Your Trainer
Michael Isvy
Head of Engineering
Michael is Head of Engineering with broad experience leading teams that build large-scale software systems and modern engineering platforms. He is especially interested in how AI-augmented development workflows can help teams work more effectively on complex codebases while preserving quality, maintainability and sound architecture.
Areas of focus
- Shares practical perspectives on AI-assisted development at scale
- Interested in developer productivity, code quality and architectural integrity
- Helps teams apply modern engineering practices to real delivery environments
What to Prepare
A short technical setup is required before the session. Detailed instructions will be sent to confirmed participants in advance — no preparation is needed at the point of registration.
Fees
| Participant | Standard Fee | Special Rate |
|---|---|---|
| Per participant (per pax) | $1,250 | $900 |
Team & private cohorts. The special rate applies to confirmed registrations. Group bookings and private in-house cohorts can be arranged — get in touch to discuss dates, numbers, and on-site delivery.