Скачать или смотреть Autonomous AI for Testing at Scale + Embeddings with LangChain4j

Our main speaker for the May 15th meeting focuses on using GenAI as a valuable tool for the software development process. Andy Piper from Diffblue will show us how AI can handle most of our unit testing using reinforcement learning AI. And since AI is becoming a ubiquitous tool for all developers, Frank Greco will continue his GenAI thunder-talk series and explain embeddings in clear Java terms with quick IntelliJ demos using LangChain4j.

Autonomous AI for Enterprise Testing at Scale

Unit testing is one of the biggest productivity killers in modern Java development. Developers report spending most of their time on tasks other than writing code. Many devs even skip writing unit tests altogether. But what if AI could eliminate 95% of that burden?

Andy Piper, VP of Engineering at Diffblue, is visiting us from the UK and will show how reinforcement learning-based autonomous AI is changing the game for Java teams. You’ll see how AI can generate and maintain unit tests across entire codebases, both locally and in CI, freeing developers to focus on what they do best: building great software.
Thunder Talk: Making Sense of Embeddings for Java Developers -

LangChain4j - Part 2

Embeddings are the backbone of modern AI. They turn words, code, and other data types into single-precision floating-point vectors that machines can handle. In this 20-minute ThunderTalk [insert loud-thunder.mp3 here], Frank will explain what embeddings are, why they matter, and how to use them for search, recommendations, and RAG-based chatbots. We’ll use LC4J for a couple of quick demos.