Agentic Engineering
How do you get the most out of coding agents? Persistent context, custom commands and multi-agent orchestration.
What you'll learn
Master coding agents
Understand LLMs applied to code and make the most of the interaction modes (Ask, Act, Plan, Exploration) of tools like Claude Code or Cursor.
Create persistent context
Structure memory files (AGENTS.md, CLAUDE.md) and develop commands and skills tailored to your project.
Orchestrate multi-agent systems
Architect systems of specialized sub-agents, secure the environment, and avoid common pitfalls.
The detailed programme
Seven modules to move from theory to practice, from understanding LLMs to multi-agent orchestration.
Understanding Agentic Engineering
2h20
An overview of Agentic Engineering and a tour of the tools on the market. What concretely changes in software development with AI agents.
Objectives
- Understand Agentic Engineering and distinguish it from Vibe Coding and AI-Assisted Development
- Master the interaction modes (Ask, Act, Plan, Exploration) and the success factors
- Compare the tools on the market: Claude Code, GitHub Copilot, Cursor, OpenAI Codex, Gemini CLI
What's covered
- Agentic Engineering vs Vibe Coding vs AI-Assisted Development
- The evolution of AI in development: from autocomplete to autonomous agents
- LLM fundamentals: token prediction, limits and capabilities
- Tool landscape: Claude Code, GitHub Copilot, Cursor, OpenAI Codex, Gemini CLI
- Interaction modes: Ask, Act, Plan, Exploration
Your experts
Training investment
600,00€
per participant
5 000,00 €
per session
102
People trained (2026)
94%
Satisfaction (2026) · 25 responses
25%
Response rate (2026)
Fund your training through an OPCO
As a Qualiopi-certified training provider, the courses we offer can be funded through an OPCO (the French vocational-training funding body). Find which OPCO you depend on here.
Let's discuss your project
Personalised quotes, tailor-made formats, OPCO funding options: we answer all your questions.
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