Kotlin MeetUp Amsterdam October 2024 - E2E Tests & AI!

Please, register yourself on our MeetUp page.

Hello, Kotlin friends!

Our next MeetUp will take place at their office on the 9th of October!

Join us on an evening filled with tasty food, refreshing drinks, and insightful Kotlin discussions.

Make sure to press the RSVP button!

Would you like to be a speaker? Get in contact with Raphael De Lio

📍 Location:
JetBrains – Gelrestraat 16 · Amsterdam, NH

🕒 Timeline:
18:00 – Doors open, food and drinks 🍕
18:45 – Opening 🎙️
18:55 – Stove: A Different Approach to E2E/Component Testing with Kotlin –Oguzhan Soykan 💻
19:45 – Quick break 🚽
19:55 – Kotlin & AI: the future is brAIght! – Urs Peter 💻
20:45 – Chats & Drinks 👥

Stove: A Different Approach to E2E/Component Testing with Kotlin
Oguzhan Soykan – Staff Engineer @ Trendyol
How the Stove framework provides a cohesive solution for end-to-end/component testing, supporting both Java and Kotlin projects using Kotlin. We will discuss the idea, and see the examples of real-world scenarios.

“Oğuzhan Soykan, living in the Netherlands. I work at Trendyol as a Staff Eng, love open-source & Kotlin & functional programming.”

Kotlin & AI: the future is brAIght!
Urs Peter – Lead Kotlin Engineer @ Xebia

With the introduction of ChatGPT and other generative AI models, artificial intelligence has expanded exponentially, offering possibilities beyond our wildest imaginations while simultaneously challenging the established way of doing. How does this exciting (r?)evolution impact us Kotlin developers?In this talk, we will dive deeply into AI to equip you with a broad overview of AI terminology, concepts, and possibilities within the Kotlin ecosystem. This will empower you to harness AI’s transformative potential in your projects. So, yes, we will go far beyond your AI coding assistant, and no, you don’t need to be a data scientist or math hero to understand the contents.

Get to know:

Basic machine learning concepts: datasets, predictions, classification, and anomaly detection using Kotlin notebooks.
Deep learning with KotlinDL: object detection, speech recognition, and natural language processing.
Generative AI 101: (large) language models (LLMs), embeddings, vector databases, retrieval-augmented generation (RAG), agents
Integrating AI into server-side and mobile applications using frameworks like Langchain4j and Spring-AI

Through interactive examples and live coding, you will gain insights into how Kotlin can be leveraged with cutting-edge AI technologies, opening doors to innovative possibilities in content generation, natural language processing, computer vision, and more.By the end of this session, you will emerge with a comprehensive understanding of AI’s potential within the Kotlin ecosystem, equipped with the knowledge and tools to embrace the brAIght future with confidence!