Devoxx Ukraine 2023: AI – Friend or Foe?
2023-09-22
-- online --
[Devoxx Ukraine 2020, Devoxx Ukraine 2021, Devoxx Ukraine 2022: Secure our Future, Devoxx Ukraine 2023: AI – Friend or Foe?]
| title | author | length |
|---|---|---|
| Superintelligence: No one is smart enough | Dr. Alan Thompson | 50m |
Claims measurable results: GPT‑4 hits IQ 155 on WAIS‑3, scores in the 99th percentile on the Torrance creativity test and 99.5th on the USA Biology Olympiad… | ||
| Sailing Modern Java | Piotr Przybył | 01h 00m |
Java 21 adds concrete features: virtual threads let a demo create one million lightweight threads for IO-bound workloads, but they don’t speed CPU-bound code… | ||
| Java 11 to 21 Evolution! | Mohamed Taman | 01h 02m |
Covers concrete changes from Java 11 through 21: six-month release cadence and LTS every two years, built‑in HTTP Client replacing external libraries… | ||
| The Art of Java Language Pattern Matching | Simon Ritter | 56m |
Java adds concrete pattern features: instanceof pattern lets the compiler bind and flow-scope variables (JDK14); switch expressions accept type and null cases… | ||
| A Glance At The Java Performance Toolbox | Ana-Maria Mihalceanu | 43m |
Demo builds a two‑stage Docker image that uses jlink custom runtime (JDK 21) to shrink the image, runs a Spring Boot todo app under load, and shows memory… | ||
| Micro Minds: Event-Driven Services Modeled as Neural Synaptic Networks | Hugh McKee | 44m |
Argues that event-driven microservices can be designed like neural networks, wired as simple entities/actions/views that emit and transform events into… | ||
| Enter The Brave New World of GenAI with Vector Search | Mary Grygleski | 57m |
Argues that GenAI needs a purpose-built vector store and shows a working pipeline using Cassandra-based Astra Vector DB, embeddings and an embedding service… | ||
| 5 tips to make your Java apps more awesome. Non-functional Requirements Exemplified | Rustam Mehmandarov | 59m |
Concrete checklist with runnable demos: a two-service Java setup (API front and backend) plus an Unleash server runs under Docker Compose, built with… | ||
| Panel Discussion: AI- Friend or Foe? | Oleg Tsal-Tsalko, Evgeny Borisov, Mary Grygleski, Andriy Mulyar, Sean M Phillips | 58m |
Panel argues AI does not replace developers but becomes a third arm that speeds creative work; common tools mentioned include ChatGPT, GitHub Copilot, local… | ||
| Explainable AI Analysis & Visualization: Applications from Brain Computer Interfaces to ChatGPT | Sean M Phillips | 50m |
Shows an open source JavaFX tool called Trinity that visualizes hyperdimensional vectors from a 418‑sensor non‑invasive BCI projected into a 12‑D semantic… | ||
| Welcome to the Jungle - A safari through the JVM landscape | Gerrit Grunwald | 51m |
Overview of the JVM ecosystem that names the concrete tradeoffs: OpenJDK is source only while many distributions (≈20+ builds) provide binaries with different… | ||
| Through the looking glass: Effective observability for cloud native applications | Grace Jansen | 58m |
Shows a concrete setup: two Java microservices (inventory and system) running on Open Liberty, instrumented with MicroProfile Telemetry adopting OpenTelemetry… | ||
| Test-Driven Design Insights - 10 Hints You Were Missing | Victor Rentea | 01h 00m |
Ten concrete design hints: tests act as feedback not just safety, and mocks speed tests but hide integration bugs; prefer start Postgres in a Testcontainer or… | ||
| Heroes of System Design & Magic | Andrew Petryk | 01h 01m |
Prefers system design over live coding and claims 256 interviews since Jan 2019 to Apr 2023 informing the hiring perspective. Shows a TinyURL design with… | ||
| Orchestrate your AI with Semantic Kernel | Soham Dasgupta | 59m |
Shows how Semantic Kernel wires GPT models and embeddings into reusable pipelines using Azure OpenAI (GPT‑3.5/GPT‑4) and vector stores, demonstrates a live… | ||
| Learning from Nature or what biological systems can teach software engineers | Boris Trofimov | 47m |
Argues concrete parallels: DNA as hard drive with codons as bytes, RNA polymerase as an IO copier, mRNA as a flash drive and ribosome as Turing machine that… | ||
| Copilot is my Copilot: Pair programming with an AI | Mark Heckler | 55m |
Builds a Spring Boot 3 app (Java 17) with MongoDB, seeds four developer records, and wires a REST controller, repository and tests using GitHub Copilot and… | ||
| Dude, what happened to my developer-first cloud? Production-easy Spring Cloud: concepts & impl-tions | Mark Heckler | 55m |
Shows a concrete end-to-end demo: local Spring Boot services (starch, topping, food, gateway) are wired to a service registry and gateway, then extended with… | ||
| AI is Eating the Developer Career! Wait, what? Maybe it's the other way around? | Bruno Souza | 59m |
Argues that an experienced developer plus AI becomes a force multiplier (2x–5x), showing a live demo that uses ChatGPT/GPT‑4 and GitHub Copilot inside an IDE… | ||
| Using AI to build an AI Java app | Brian Benz | 34m |
Announcement: GitHub Copilot and Copilot Chat beta are live and demonstrated inside VS Code and Codespaces, showing inline completions and inline chat with… | ||
| Deploying applications to Kubernetes: never send a human to do a machine's job | Sergii Bishyr | 37m |
Deploys a demo "Matrix" app using raw YAML, Kustomize, Helm and an Operator pattern, comparing tradeoffs. Shows a stateful set of 3 agents (load‑balanced)… | ||
| Building full stack AI chatbots with Java - livecoding | Lucian Gruia | 01h 02m |
Live-coded a working Java full‑stack chatbot: Spring Boot backend, Telegram client, Dockerized Solr search index and MariaDB persistence, plus Metabase for… | ||
| ClickHouse: what is behind the fastest columnar database | Olena Kutsenko | 45m |
Columnar storage with per-column files, targeted compression codecs and vectorized execution lets ClickHouse handle billions of rows and tens of GB/s for OLAP… | ||
| How to build a GPT4All | Andriy Mulyar | 44m |
Explains how Nomic AI builds GPT4All by distilling a 7B model from ChatGPT using about a million scraped input‑output pairs then curating ~400k for training… | ||
| Remake of Spring The Builder Powered by AI | Evgeny Borisov | 01h 51m |
Rebuilds a tiny Spring‑like system using ChatGPT and Anthropic (Cloudy): an ObjectFactory + Config that scans packages with the Reflections library, a JSON… | ||
| Developer Productivity – DIY (with LLM) or How I Learned to Stop Worrying and Love the AI | Baruch Sadogursky | 50m |
Live demo shows concrete wins: enabling Gradle build scan and remote caching avoids 11 tasks and saves ~56 seconds, and setting MaxParallelForks to… | ||
| Bootiful Spring Boot 3 | Josh Long | 38m |
Demo uses Spring Boot 3.2 M3 with Java 21, scaffolds a service wired to Postgres via Testcontainers, and enables fast edit-reload with DevTools and… | ||
| AI – Friend or Foe? | 01m | |
Conference is soliciting AI speaker proposals for Devoxx Ukraine 2023, running online on Sept 22, 2023, and promises a live audience of 20,000 developers… | ||
| Devoxx Ukraine 2023 | Online | September 22 | 01m | |
High level promotional overview that promises to explore AI's impact on employment and innovation but provides no concrete claims, tools, datasets, or outcome… | ||
| nothing matches | ||