Accepting bookings for Q4 2026

Master AI engineering for reliable product delivery.

A full-day workshop that helps your development team apply AI in a structured, practical way without compromising quality, starting from day one.

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1 day

Learn in the morning, apply it in the afternoon.

100%

Fully hands-on, your team builds, experiments, and applies AI immediately.

2

Project exercises

Where development teams go wrong with AI.

Most teams jump from autocomplete to fully autonomous AI coding, skipping the essential middle phases. This mistake leads to errors, unreliable code, and measurable losses.

+19%

Slower without adapted workflows


Experienced developers who didn’t adapt their workflows actually got slower with AI tools.

4x

Duplication without context


AI models that don’t know your project conventions fall back on generic patterns, causing a 4x increase in code duplication.

67%

More debugging without guardrails


Unconstrained AI output often means reviewing and fixing code instead of shipping it.

The missing piece isn’t better AI. It’s context engineering. Teach the model your rules and get code tailored to your project.

Who is it for.

For experienced engineers ready to scale AI

This workshop is built for people who ship software and want a structured approach to building AI-driven digital products.

Backend engineers

Full-stack developers

Tech leads who still code

Development teams adopting AI together

Participants should be comfortable with:

Writing code in at least one backend or frontend language

Git and version control

Understanding REST APIs

Running Docker containers

What to expect.

Understand it. Build it. Ship it.

Morning – Theory & Live demos

01

The productivity shift

~15 min

02

LLMs explained

~30 min

03

Prompt & context engineering

~60 min

04

AI coding agent deep dive

~90 min

Afternoon – Hands-on

01

Build from scratch

~90 min

02

Join an existing codebase

~90 min

Practical outcomes for your team.

Hands-on skills and ready-to-use assets that get work done, not abstract concepts.

A repeatable workflow

A structured three-phase approach that participants practice twice during the workshop, first on a new project, then on an existing codebase.

Working AI configuration

Each participant creates project configuration files and scoped convention rules during the exercises, ready to adapt and commit to their own repository.

Safety guardrails

Knowledge of setting up deterministic constraints that enforce rules outside the AI’s reasoning, blocking dangerous commands, and protecting critical files.

Understanding of the extension model

Insight into reusable skills, specialized agents, and external integrations is gained through hands-on examples that participants can use as starting points for their own projects.

Context management discipline

Hands-on techniques to keep AI output high-quality: knowing when to compress, when to start over, and how to prevent degradation on complex tasks.

Foundations that transfer

Prompt engineering, context engineering, and the structured workflow can be applied to any AI coding tool. The workshop concludes by explicitly showing how these concepts map to other agents.

Focused on building, not talking.

Every concept has working code

No slides, only blocks. Participants build a real API, configure real tooling, and commit real code during the workshop.

Your team leaves aligned

Everyone walks out with the same vocabulary, workflow, and configuration patterns, reducing friction when AI becomes part of daily work.

Context engineering, not prompt tricks

Most trainings teach how to write better prompts. This one teaches how to build systems that give AI the right information automatically.

Adapted to your stack

Default examples use Java/Spring Boot, but exercises are tailored to your team’s language — Go, JavaScript/TypeScript, Python, or whatever you ship with.

Workshop details.

Full day


Theory in the morning, hands-on coding in the afternoon.

Flexible delivery


In-person. Exercises run on participants’ own machines.

8-10 participants


Optimized for focused teams. Larger groups available with extra facilitators.

Ready to turn AI into real business impact?

Let’s discuss your industrial platforms, digital transformation, and scaling challenges.

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