Date: 21 May 2026 @ 09:00 - 17:00

Language of instruction: English

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In this hands-on workshop, you'll learn how to move beyond chat-based coding and design structured, agentic coding workflows. Using GitHub Copilot, you will learn to write effective prompts, leverage LLMs for multi-file coding tasks, and design workflows that plan, act, and iterate safely. The course features a mix of explanations, live demonstrations, and hands-on exercises, giving you the opportunity to apply LLMs to real-world coding challenges. You’ll also explore how to evaluate agent outputs, implement guardrails, and address important risks and governance issues. By the end of the training, you'll be able to use LLMs for structured coding tasks, design robust agentic workflows, and enhance productivity in your own projects.

Keywords: Artificial Inteligence, generative AI, software

Venue: Ghent - VIB/UGent FSVM II, Technologiepark 75

City: Zwijnaarde

Country: Belgium

Postcode: 9052

Learning objectives:

  • Critically review agent generated code for correctness maintainability and security
  • Describe the agent loop (goal plan act observe revise) and its implications for software development
  • Design an end to end agentic workflow for a realistic coding scenario
  • Explain key concepts and terminology related to agentic coding (agents planning loops tools guardrails)
  • Produce a reusable prompt or workflow template that can be applied in your own projects
  • Summarize common failure modes and risks of coding agents
  • Write effective prompts and task descriptions that guide agent behavior

Organizer: VIB

Event types:

  • Workshops and courses


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