Refine our model to enable faster AI-supported implementation loops

Modern AI-powered coding assistants change the rules of the game in software development, promising faster code delivery.
But speed is useless without control.

Domain-Driven Design highlighted that coding was rarely the bottleneck when writing business software. Complex and evolving requirements, and the need to learn the business domain, were the driving forces behind clean model separation and a robust architectural foundation.

Can the two approaches coexist? And if so, what’s the best way to leverage the strengths of both?

In this AI-powered Domain-Driven Design workshop with Alberto Brandolini, we combine the power of modern AI tools where they have the most impact, while still maximizing learning through hands-on activities. We apply model decomposition to work within the constraints of the LLM context window and fine-tune workflows and architectures to meet the specific requirements of the models.

Details

• Trainer: Alberto Brandolini
• Group size: max 16 people
• Length: 4 days.

Check out our Cancellation policy.

Contacts

We’re here to make your experience as smooth and rewarding as possible. If you have any questions or need further assistance, please don’t hesitate to reach out via email at info@avanscoperta.it.