JCON EUROPE 2026
2026-04-20..2026-04-23
Cologne, Germany
[JCON Europe 2023, JCON EUROPE 2024, JCON EUROPE 2025, JCON EUROPE 2026]
as the organisers put it
JCON EUROPE: Embrace your Java Journey. Dive into the pulsating heart of the Java community at JCON EUROPE 2026, the premier in-person Java community conference in Germany, lovingly organized by the Java User Group Oberpfalz in collaboration with JAVAPRO Magazine.
| title | author | length |
|---|---|---|
| Scaling Data in a Sovereign AI Platform | Johann Strauss, Markus Kett | 49m |
A blueprint for a European sovereign AI platform that pairs Dell infrastructure with a high-efficiency Java stack: Eclipse Store/Data Grid plus JVector as an… | ||
| Code Is Cheap. Software Isn’t. | Markus Eisele | 47m |
AI generates boilerplate and whole methods in seconds but teams hit failures when code touches millions of lines of business logic, implicit invariants, or… | ||
| Java: 30 Years and Beyond | Ana-Maria Mihalceanu | 40m |
Java claims 30+ years of steady evolution: the first code drop November 2006 opens the platform, and contribution happens via mailing lists, early‑access… | ||
| AI inside the IDE | Bruno Borges | 20m |
Microsoft uses 3 million JVMs internally and builds a Java Semantic Kernel plus tools for application assessment and diagnostics; code generation shifts review… | ||
| AI inside the IDE | Marit van Dijk | 08m |
Argues that reading beats writing when half the code is AI generated and insists on owning any code pushed to production, demonstrating IntelliJ integrations… | ||
| Docker Sandboxes for AI | Kevin Wittek | 12m |
Docker Sandboxes launches a near-instant microVM + container per agent so autonomous coding tools run builds and tests without host access; it uses secure bind… | ||
| AI agents on the JVM | Frederik Pietzko | 10m |
Java ecosystem runs agents without rewriting in Python, showing embeddings and LLM calls stay on the JVM and integrate via Spring AI, LangChain for J or… | ||
| OpenTelemetry and Quarkus | Thiago Gonzaga | 08m |
Shows how OpenTelemetry plugs into Quarkus to send useful production signals to the Loki, Grafana, Tempo, Mimir stack, with Quarkus’s zero-configuration… | ||
| AI's impact on software architecture | Eberhard Wolff | 21m |
Claims that generated code equals solved architecture get a counter-argument grounded in thirty years of experience: LLMs produce runnable code but the… | ||
| Whether AI makes us stupid — cognitive offloading and the Flynn effect | Jan Thierolf | 09m |
Argues that the long‑running Flynn effect reversal is partly driven by steady cognitive offloading onto GPS, search engines, spellcheck and now LLMs, with… | ||
| Specification-driven development and model-driven architecture with AI | Lofi Dewanto | 10m |
Argues that large language models finally solve the old MDA bottleneck by acting as the code generator, while the new problem is nondeterministic output that… | ||
| Clean Architecture and AI | Lutske de Leeuw, Maarten Vandeperre | 11m |
Claim: Clean Architecture matters more when LLMs generate code because layers and dependency rules stop agents from producing sprawling, unchecked changes… | ||
| LangChain4j vs Spring AI for Java developers | Sandra Ahlgrimm | 11m |
Direct comparison of LangChain4j and Spring AI for agentic Java apps shows concrete tradeoffs: LangChain4j is Java vanilla with clear builder patterns and… | ||
| Java streams performance and optimization | Cay Horstmann | 10m |
Streams often run substantially slower than equivalent loops when misused: 3x performance loss appears in examples where textbook functional patterns and… | ||
| AI's impact on open-source contributions and mentoring | Francois Martin | 14m |
AI-generated pull requests already show up and many are low quality, while some speed up the boring first commit to ten seconds. Projects split: OpenJDK bans… | ||
| The nervous system of Spring Framework | Ko Turk | 08m |
Explains how Spring’s dependency injection and application context get materialized, how CRaC creates a disk checkpoint of the live context so all beans are… | ||
| Google's A2A protocol and a Jakarta EE server implementation | Buhake Sindi | 09m |
Google A2A is a prompt‑forwarding RPC layer where one agent sends a user prompt and the receiving agent decides how to execute tools rather than relying on… | ||
| Using AI effectively in large Java codebases | Nupur Agarwal | 15m |
Shows concrete wins on two-million-line Java: a curated corpus of programming and incident triage tasks, automated evaluations that compare Opus vs Haiku and… | ||
| JVM internals — bytecode, JIT, GC, speculative optimization | Gerrit Grunwald | 11m |
The JVM loads, verifies, and initializes classes, runs bytecode through a template interpreter (precompiled machine-code stubs), then tiers to a fast C1 JIT… | ||
| Improving code reviews with AI agents | Johannes Rabauer | 09m |
AI agents triage pull requests, auto-comment and prep diffs so reviewers focus on design decisions, not nitpicks, using tools like GitHub Copilot to run agents… | ||
| Model Context Protocol (MCP) and agentic skills | Pasha Finkelshteyn | 12m |
A practical teardown of Model Context Protocol shows how bad skill descriptions and sloppy names stop tool calls cold, with parameter schemas and activation… | ||
| AI's impact on programming jobs and developer skills | Mary Grygleski | 07m |
Claim: AI reshapes some programming roles but not others, and the useful boundary is a fuzzy-logic vs deterministic split — LLMs are non-deterministic… | ||
| Keeping up to date with technology | Piotr Przybył | 10m |
Claims a repeatable workflow: use AI agents to scaffold examples, feed JEP URLs and run Panama API vectors from Java, but the agent hallucinates on Apple… | ||
| A Journey - On Tour with Java Code on It’s Way Through the JVM | Gerrit Grunwald | 39m |
Java source compiles with JavaC into bytecode class files, then the JVM class loader chain (bootstrap → platform → system → optional custom) brings classes… | ||
| Java: To Infinity and Beyond | Sharat Chander | 31m |
Java claims a massive installed base with 12–20 million Java developers and a community structure that includes the first Java user group 1997 New York plus… | ||
| Creating AI-infused Apps, the Easy Way 🤙 | Kevin Dubois | 47m |
Demonstrates adding AI to Java apps with a few lines of code by adding the OpenAI extension and declaring an interface annotated like @RegisterAIService so… | ||
| From Chat to RAG to MCP: Enhancing Java Applications with AI | Albert Attard | 41m |
Shows a Java prototype that turns freeform text, photos and voice into structured Java objects via Spring AI and LangChain4J, uses embeddings (vectors ~… | ||
| Functional Programming with Java | Falk Sippach | 51m |
Demonstrates concrete functional techniques applied to Java: implements the Luhn checksum as composed, testable functions; builds a lazy FizzBuzz via zipped… | ||
| Learning Modern Java the Playful Way | Marit van Dijk, Piotr Przybył | 45m |
A runnable image-search demo encodes images and captions with a multi‑modal model (Gina) into Elasticsearch with 1,000‑dim embeddings and a 12‑document… | ||
| Livecoding: Creating Beautiful Java Code With LLM and Agents | Adam Bien | 52m |
LLMs produce idiomatic Java using Quarkus/MicroProfile templates and a Boundary‑Control‑Entity structure, generating Java 25 code with records, JAX‑RS… | ||
| Creating Effective and Objective Architectural Decision Records (ADRs) | Piet van Dongen | 46m |
Advocates a lightweight ADR practice with a clear template (title, status, summary, stakeholders, context, in/out-of-scope), uses weighted requirements and a… | ||
| Caching and Beyond - Smarter Data Processing with Java | Christian Kuemmel | 43m |
Claims that replacing heavy DB usage with Java-native storage cuts complexity, infra and license costs while speeding apps; demo builds an app using Eclipse… | ||
| Have You Gone MADR? | Johan Hutting | 24m |
Argues for storing decision records as Markdown files next to source code, showing a live repo example (open source library) that documents the chosen Java… | ||
| Expand Your Java Connections | Sharat Chander | 16m |
History of NetBeans device emulators for Nokia/Motorola/SonyEricsson phones and a career spent building community frames the claims: user groups number roughly… | ||
| Secrets of Performance Tuning Java on Kubernetes | Bruno Borges | 47m |
JVM defaults pick Serial GC at ~1.7GB threshold so one-CPU, 1GB containers often run the wrong collector and show bad P95/P99 latency; app CDS and app… | ||
| Building Powerful GenAI Apps with Pure Java | Florian Habermann | 46m |
Demonstrates a pure‑Java stack that replaces external vector DBs by combining Eclipse Store (object persistence) with GigaMap (off‑heap, lazy‑loaded indexes)… | ||
| Better Assertions with AssertJ | Tim te Beek | 42m |
Shows how AssertJ fluent chaining and features like recursive comparison, .actual(), custom domain assertions, and soft assertions produce far clearer failure… | ||
| Scaling Integration Tests: Parallel Spring Tests with JUnit & Testcontainers | Marvin Rensing | 47m |
Uses JUnit 5, Testcontainers and WireMock to run Spring Boot integration tests in parallel by reusing containers via a singleton container approach (static… | ||
| The Happy Hacker's Handbook: Finding Joy in Software Development Again | Christian Seifert | 44m |
Argues that developer happiness is built, not found, and gives concrete moves: reframe legacy systems as revenue generating work, use the Cologne Cathedral… | ||
| The Road to JUnit 6 | Marc Philipp | 49m |
2025 funding from the Sovereign Tech Fund pays one developer full time for ~1.5 years and produces three releases: 5.12 (Feb) adds Open Test Reporting XML with… | ||
| Demystifying AI Agents | Mary Grygleski | 46m |
Claims that AI agents extend LLMs via tool-calling and add memory, planning, reasoning; demonstrates Java examples using langraph4j state graph to model nodes… | ||
| Don't Get Burned! Secure Coding Essentials to Protect Your Application | Brian Vermeer | 47m |
A demo Spring Boot app shows real exploits that work: SQL injection: concatenated query allows an attacker to run "UPDATE products SET price=0" and zero out… | ||
| Ten Angry Comments Later: Stories About Code Reviews, Teams, and Yesterday’s Code | Johannes Rabauer | 33m |
Stories show concrete fixes and failures: a VAT change from 19% to 16% reveals missing date logic, a reviewer throws away a finished library instead of… | ||
| Java Beyond Frameworks: Avoiding Lock-In with Agnostic Design | Rijo Sam | 41m |
Shows a concrete migration path: replace Spring annotations with JSR‑330 annotations, move domain logic into a framework‑free module, and keep Spring or… | ||
| Never Trust a Monkey: The Chasm, the Craft & the Chain of AI-Assisted Code | Baruch Sadogursky | 48m |
Models get better but developers trust them less: surveys show ~76% see hallucinations, 96% distrust AI, 42% still commit AI code to production while only 48%… | ||
| Code Not Required! The Many Ways to Support Open Source Projects | Matthias Bünger | 42m |
Open source appears in 96% of codebases and one study estimates a $4.15B supply value versus roughly $8.8T demand, forcing a 3.5x cost if teams reinvent the… | ||
| Kicking JavaScript to the Curb with Vaadin | Micah Silverman | 49m |
Existing Spring Boot + Vue.js app (in production ~7 years, used by 4–8 people) migrates to end-to-end Java with Vaadin Flow, Spring Boot 3.5.11, Keycloak… | ||
| Zero Migration Java - Staying Current Without Breaking Your App | Grace Robinson, Michal Broz | 52m |
Claim: upgrade the Java runtime without touching application code by using a modular, versioned runtime. Implements zero migration with Liberty modular… | ||
| curl | bash | hacked: The Unseen Dangers in Your Dev Lifecycle | Steve Poole | 38m |
curl | bash routinely hands attackers full user privileges by hiding malicious scripts behind browser-only responses and altered copy buttons; demos show a… | ||
| When Greed Is Good: Understanding Java Stream Performance | Cay Horstmann | 47m |
Explains how Java streams actually execute by showing JMH benchmarks, JITWatch assembly, and flame graphs that reveal surprising costs: adding a limit produces… | ||
| The Wait is Over: Foreign Function & Memory API brings modern Java to the Pi | Frank Delporte | 43m |
Pi4J moves from JNI/JNA and multi-layer native builds to a new Pi4J FFM plugin that runs on Java 25 with FFM API, removing C headers, Docker builds and extra… | ||
| Mission Possible: The 45-Minute Path to Bullet-Proof Java Container Images | Catherine Edelveis | 47m |
Shows a concrete recipe: replace a 1 GB Eclipse Temurin/JDK image that scans at 46 CVEs with a multi-stage Dockerfile using a minimal JRE base and hardened… | ||
| Why Full-Stack Is the Future of Web Application Development | Leif Åstrand | 41m |
Argues that full-stack reduces wasted effort by treating frontend and backend as one team one repo one build pipeline, compares four concrete architectures —… | ||
| What the Duck?🦆 The Hidden Crisis in Tech | Aicha Laafia | 19m |
Tech teams present calm while many are exhausted and anxious underneath, and the talk names numbers: 73% burnout among full‑time IT, 1 in 3 developers want to… | ||
| Testable Architecture: Keep 'em Separated | Ted M. Young | 21m |
Argues two concrete rules: keep I/O separate and domain must not depend on I/O, implemented as hexagonal + DDD in Java with ArchUnit checks, JUnit Pioneer for… | ||
| Moving Towards the European Cloud | Bouke Nijhuis | 42m |
A small Java Azure Function that checks solar inverters moves to two European clouds: Stackit (via Cloud Foundry) and Scaleway (via Scaleway… | ||
| Enable Digital Sovereignty by Tech Stack Liquidity | Merlin Bögershausen | 45m |
Claims a concrete migration path: OpenRewrite recipes perform semantic, testable code transforms (examples: JUnit4→5, logging stacks) and the platform runs… | ||
| Engineering a Modern Java Platform | Steve Poole | 44m |
Move from JDK 8/11 to 21–25 and you hit concrete breakages: removed internal APIs, jdeps, jdeprscan, jnativescan flag every use of sun.misc.Unsafe and JNI so… | ||
| Conquering a Billion Rows with Modern Java Concurrency | René Schwietzke | 47m |
Takes the 1 Billion Row Challenge from a 77s one-thread baseline on cloud hardware and targets 8 cores using only the JDK (no Unsafe, no external libs) and… | ||
| Inside Spring: The Architecture Behind the Framework | Ko Turk | 43m |
Walks through Spring Boot startup from Application.run to the bootstrap initializers load config before context, shows how Environment and ApplicationContext… | ||
| Building a Digital Product Passport with Java and Cardano | Fabian Bormann | 47m |
EU requires digital product passports from 2027 and the demo shows a Java service that builds, signs and submits a Cardano UTXO transaction carrying DPP… | ||
| A Developer's Search for Meaning: Thriving as AI Transforms Our World | Markus, Elma Westergren | 42m |
Claims that AI replaces coding get tested against real problems: a Quarkus/Hibernate transaction bug that current models miss, a coding agent matched or… | ||
| Your Code Base as a Crime Scene | Scott Sosna | 46m |
A forensic tour of code that explains why things break: concrete examples include a Java 7→8 File.close behavior change that cost hours, a 3,400-line method… | ||
| Petabyte-Scale AI Memory with Serverless Java | Markus Kett | 55m |
Pure Java petabyte AI memory built: Eclipse Store serializes and persists Java object graphs, JVector provides embedded vector search, and Eclipse Data Grid… | ||
| Beyond the Hype: Unpacking the Latest Features of JDK | Jayashree S Kumar | 45m |
Groups JDK changes by project and shows runnable code and tools: records: 11 lines → 1 for DTOs, enhanced switch and pattern matching remove casts and… | ||
| The Reputation Formula: Turbocharge Your Developer Career | Bruno Souza | 52m |
Claims a concise model — seven things to raise reputation and three to cut — packaged as the Reputation Formula and operationalized with specific actions: pick… | ||
| Testing Spring Boot Applications Demystified | Philip Riecks | 48m |
Spring Boot projects ship a starter-test that actually includes JUnit, Mockito, AssertJ, JSONAssert/JSONPath, XMLUnit and Awaitility, so unit tests focus on… | ||
| Lights, Camera, GitHub Actions! | Andres Almiray | 45m |
Covers how to use GitHub Actions end to end: YAML workflows with matrix across four runners (Linux, macOS Intel/ARM, Windows), Maven caching, secrets, job… | ||
| JSpecify: Getting Rid of the Billion-Dollar Mistake in Java for Good This Time | Michael Simons | 36m |
JSpecify defines only four annotations (ternary nullable / non-null / unspecified), keeps runtime retention so annotations are transitive, and formalizes… | ||
| Virtual Threads, Structured Concurrency & Scoped Values: Putting it All Together | Balkrishna Rawool | 47m |
Builds a Spring Boot 4.0 banking app on JDK 26 that swaps Tomcat’s platform threads for virtual threads to let the server spawn massive numbers of user threads… | ||
| Serverless Java Web Applications on AWS Lambda with Micronaut Quarkus & Spring Boot | Vadym Kazulkin | 49m |
Compares running a REST API (API Gateway → Lambda → DynamoDB) with Micronaut, Quarkus and Spring Boot and measures cold starts: about 100,000 warm starts and… | ||
| It (Only) Starts with Containers | Patrik Duditš | 42m |
Containers are only the beginning: plain YAML duplicates work, Kustomize is feature-complete and fragile (no transactions, brittle patches), and Helm solves… | ||
| Engineering for the Long Haul: Operating Open Source at Scale | Artem Karasev | 26m |
Research shows a 107% increase in open source vulnerabilities in commercial codebases and 48% of orgs report incidents with 93% knowing about the exposure… | ||
| From Bytes to Brilliance : Optimizing Large File Delivery in REST APIs | Nupur Agarwal | 20m |
A Spring Boot REST API that initially loads entire zipped S3 objects into a byte[] causes OOM at ~1 GB and crashes under concurrent downloads; switching to… | ||
| From a Workshop to a Wake-Up Call: My Journey into Accessibility | Tamari Gogebashvili | 22m |
Starts from a compliance note about the European Accessibility Act and moves into concrete, code-level fixes that are quick to implement: semantic HTML and… | ||
| The Road Not Taken: A Developer's Guide to Life Beyond Spring Boot | Frederik Pietzko | 47m |
Compares Spring Boot, Quarkus, Micronaut, Helidon, Javalin, HTTP4K and Ktor by building a small pet‑clinic REST API and running untuned benchmarks, finding… | ||
| Natural Language Data Access in Java with Hibernate, Quarkus, & LangChain4j | Marco Belladelli | 48m |
Live demo shows a Quarkus app using Hibernate ORM 7.3 and LangChain4j with a local Ollama/Qwen‑3 model (30B/3B) to convert plain English into HQL generated by… | ||
| Java Container Mastery: Optimizing Images Across Build Tools | Matthias Haeussler | 49m |
Compares plain Dockerfiles, multi-stage Dockerfile builds, Cloud-Native Buildpacks (pack/Paketo), Google's Jib, and custom runtimes via jlink/jdeps, measuring… | ||
| Crypto Trading: JVM Techniques Behind Bitvavo’s Microsecond Revolution | Oleg Lobanov, Marcos Maia | 54m |
Bitvavo rebuilds its core on the JVM and Kotlin using a replicated state machine (Raft) with Aeron for reliable UDP and SBE for zero-copy messaging. The system… | ||
| Building Observable Java Apps that Scale with Quarkus | Thiago Gonzaga | 58m |
Hands-on recipe for shipping observable Quarkus services: add Quarkus OpenTelemetry dependency only (traces on by default; metrics and logs must be enabled… | ||
| The JUG-gle is Real: What JUGs Can Teach Us About Growing Open Source Communities | Dominika Tasarz | 20m |
Claims that over 300 active JUGs exist worldwide and that geography directly shapes what a group can do: suburban Garden State leverages universities, Chicago… | ||
| Guess the Java Version | Johannes Bechberger | 24m |
An interactive quiz presents Java 1.0–25 snippets and scores fastest correct guesses for points and handmade t-shirt prizes, running entirely in the browser… | ||
| Painless Organisation and Maintenance of Maven Builds | Sandra Parsick | 46m |
Claim: start every Maven project from a deterministic baseline and automate checks so maintenance stops being accidental. Use Toolbox or Maven Archetype /… | ||
| From Git Panic to Git Zen: With a Little Help from AI | Pasha Finkelshteyn | 45m |
Shows how reflog recovers commits for 90 days and demonstrates a Spring Boot MCP server backend using Spring AI and Eclipse JGit to list, show and reset lost… | ||
| Deep insights and ready for AI - Spring Tools 5 in Action | Martin Lippert | 53m |
Spring Tools 5 ships first-class support for Spring Boot 4 & Framework 7, adds a new logical structure view that groups controllers, repositories and modules… | ||
| Approaching the JDK 25 LTS release through real-world migration | Wolfgang Weigend | 53m |
Stepwise migrations from JDK 8 → 11 → 17 → 21 → 25 use the Java SE Migration Guide, JDEPs and the Java Almanac plus tooling like JDK Flight Recorder and… | ||
| 3 Years of Quarkus in Production, What Have We Learned? | Jago de Vreede | 44m |
Quarkus is used at scale: a multi-module enterprise repo with 100+ Java devs doubles CI build time (example: 2 → 4 minutes) unless a Maven build cache is… | ||
| Reactive Web Apps With 100% Java | Leif Åstrand | 48m |
Live-coding builds a working to‑do app using Spring Boot, Spring Data JPA and an H2 database with 100% Java UI components via Vaadin Flow. It uses new… | ||
| Microservices and Microfrontends: Scaling, Learning, Growing | Lofi Dewanto, Patricia Erdelen | 51m |
A legacy sales monolith of 900,000 lines of code and 9 TB of data becomes a parallel rebuild into microservices using Spring Boot and Vue, deployed on AWS with… | ||
| Flight Recordings and Mission Control Through Thick Clouds | Martin Skarsaune | 43m |
Shows how to get Java Flight Recorder data out of minimal containers by combining JFR/JMC utilities, JCMD and kubectl debug sidecar to share PID space, then… | ||
| When ORM Becomes OMG: Performance Pitfalls in JPA and Friends | Jos Roseboom | 47m |
A demo app, FunFactStore, shows concrete JPA pitfalls and fixes: a unit test finds Hikari pool is ~5000x faster than DriverManager; leaving… | ||
| Why Bad Decisions Happen | Anja Kunkel | 46m |
Argues bad decisions come from mismatched knowledge, overconfidence and hidden incentives rather than topic ignorance, and from gaps between formal authority… | ||
| You Gotta Keep the Dogs Away: YOLO Developer Workflows with a Coding Agent in a Box | Kevin Wittek | 52m |
Docker builds a fast micro‑VM sandbox called SBX that runs coding agents in YOLO mode while isolating secrets and network egress via an egress proxy. Demo… | ||
| JCON EUROPE 2026 - Recap | 04m | |
Four days of JCON EUROPE 2026 condensed into a highlights reel showing cinematic big-screen coding at the Cinedom in Cologne, hands-on workshops, and deep… | ||
| It's the Empathy, Stupid! | Konstantin Diener | 46m |
Argues that management only cares about revenue, cost and risk and shows how to translate developer requests into those terms: converting a 5–10 minute dev… | ||
| Comparing Agentic AI Frameworks for Java | Sandra Ahlgrimm | 35m |
Compares three JVM frameworks by showing the exact same Spring Boot meal‑planner app implemented with Spring AI, LangChain4j and Embabel, measuring how each… | ||
| AI: A Tool for Software Architecture? | Eberhard Wolff | 50m |
Surveyed architects name communication as the biggest challenge, and experiments show LLMs often fabricate even when given source data: JQAssistant + Neo4j… | ||
| Java Performance Analysis and Optimization | Sascha Möllering, Yuriy Bezsonov | 45m |
Continuous async-profiler agents produce 30s JFR snapshots (50–270 KB) sent to S3 and trigger analysis when Grafana alerts at >20 rps, the deterministic Java… | ||
| AI w/o Spaghetti: Clean Architecture in the Age of AI | Lutske de Leeuw, Maarten Vandeperre | 43m |
Prototype scrapes legacy HTML, stores recipes in PostgreSQL, and adds OCR (Tesseract) plus translation so a chatbot can read and translate images; models used… | ||
| AI-driven Unstructured Data Extraction Using Apache Camel and LangChain4J | Alexandre Gallice | 20m |
Prototype converts conversation transcripts to POJOs using Apache Camel Quarkus + LangChain4j prototype and a local Ollama-hosted model, Granite 4 3B on Ollama… | ||
| Does AI Make Us Less Intelligent? | Jan Thierolf | 20m |
Shows concrete studies: a 2020 experiment links heavy GPS use to reduced hippocampus-dependent mapping; a 2024 MIT study splits students into brain-only… | ||
| A2A in 45 Minutes: Building Interoperable AI Agents | Loïc Magnette | 39m |
A2A is an open, Google‑origin spec now at the Linux Foundation that gives agents discovery, secure messaging and coordinated tasks with status (submitted… | ||
| Building Intelligent Enterprises: AI-Powered Java with LangChain4j & CDI | Emily Jiang | 45m |
Claim: add LLM-driven features to existing Java enterprise stacks without a Python migration. Uses langchain4j-cdi on Jakarta EE / MicroProfile with CDI to… | ||
| AI in Java: We've Built a Server-Side Enterprise Google A2A for Jakarta EE Devs. | Buhake Sindi | 01h 02m |
An enterprise Jakarta EE A2A server implements Google Agent2Agent using Jakarta EE10+, JDK25, and runs on Eclipse GlassFish/Omnifish with minimal dependencies… | ||
| Modern Microservices for Enterprise AI: Patterns, Pitfalls, and Practices | Wei Hu | 46m |
Advocates splitting systems into 7–10 mini‑services rather than hundreds, citing an Oracle auth system of ~30 services as a large real example, and warns that… | ||
| The Evolution of Design Patterns in the Age of AI | Miro Wengner | 43m |
Argues that LLMs and agent swarms remain probabilistic, causing hallucination, token bloat and higher energy/costs; uses RAG, fine‑tuning and embedding tricks… | ||
| Green AI with JobRunr: Sustainable Training and Inference on the JVM | Ronald Dehuysser | 25m |
Demonstrates JobRunr carbon-aware scheduling inside a Spring Boot app that collects session feedback, bundles comments, and enqueues a summarization job for a… | ||
| Will AI Replace Me? A Philosophical Mind Dump. | Florian Sommer | 20m |
Claims that past tools like COBOL, SQL/SEQUEL, BPMN engines and Microsoft Access would eliminate developers fail in practice — they lower surface complexity… | ||
| Seven Habits of Highly Effective AI Java Coding | Jonathan Vila | 47m |
Compares models with numbers — DeepSeek 3.1 pass rate ~78% vs GPT 5.2 ~80% but GPT 5.2 emits ~3× the lines of code, so review cost and token spend jump; shows… | ||
| Chasing the Main Thread - Adventures in AI Assisted Coding | Markus Eisele | 47m |
Daily hands-on output: a workflow that produces 400+ posts so far by chaining ideation in ChatGPT/Claude with implementation in Gemini, Anthropic, Cursor and… | ||
| nothing matches | ||