JAVAPRO

@javapro
70 Followers
16 Following
1.5K Posts

Most enterprise #AI projects don’t fail because the model is weak. They fail because data, security, infrastructure & ownership become chaos around it. Maarten Vandeperre & Camille Nigon explain what Java teams need beyond the demo phase: https://javapro.io/2026/06/17/enterprise-grade-ai-for-java-developers-behind-the-bar-of-the-ai-revolution/

#Java @QuarkusIO

Annotations aren’t what breaks your Spring service in production. Missing #Observability. Weak API evolution. Security bolted on too late. @vvauban connects #SpringBoot4, #Java26 & certification skills to the habits that prevent those failures.

Dive in: https://javapro.io/2026/03/13/java-26-spring-boot-4-from-certification-skills-to-production-ready-apps/

Ever wasted more time configuring Maven than writing the script itself? @li_haoyi shows how Mill simplifies #Java, #Kotlin & #Scala projects with lightweight configs & runnable single-file scripts—helping you prototype & ship JVM tools faster.

Read: https://javapro.io/2026/05/13/simpler-jvm-project-setup-with-mill/
#JVM

Ever discovered a legacy app nobody touched for 10 years — only to realize the business still depends on it daily? That’s how teams rediscover Struts today. @spoole167 explains why “just rewrite it” is fantasy in enterprise #Java systems.

Read: https://javapro.io/2026/06/16/1-why-struts-1-3-still-matters-in-2026/

@HeroDevs

Internationalisierung muss nicht komplex sein. @svenruppert zeigt eine schlanke #i18n-Architektur für #Vaadin: Browser-Locale erkennen, Session speichern & Sprache direkt in der UI wechseln.

Ein guter Blueprint für Java-Webapps. Lies jetzt: https://javapro.io/de/internationalisierung-i18n-in-einer-vaadin-anwendung/

#Java @vaadin

Internationalisierung (i18n) in einer Vaadin-Anwendung - JAVAPRO Germany

Moderne Webanwendungen werden selten nur von Benutzern derselben Sprache verwendet. Selbst interne Werkzeuge erreichen häufig internationale Teams oder…

JAVAPRO Germany

Deine #Java-App ist langsam… und jetzt? Mehr Pods? Yuriy Bezsonov & @sascha242 bauen eine #AI, die JFR, Flamegraphs & Thread Dumps liest & dir konkrete Code-Fixes liefert. Kein Rätselraten mehr!

Bereit für Debugging 2.0? Lies jetzt: https://javapro.io/de/java-performance-optimierung-mit-agentic-ai-autonome-diagnostik-und-umsetzbare-empfehlungen/

#DevOps #Performance

The hardest part of legacy modernisation is often not the business logic — it’s the platform drift underneath it. Containers & #Java evolve while old frameworks stay frozen. @spoole167 explores why #Struts & #JakartaEE now fundamentally diverge: https://javapro.io/2026/06/18/2-the-jakarta-cliff-why-modern-java-leaves-struts-1-behind/

What’s more dangerous: slow coding or fast bad code? @vilojona tackles the real problem behind #AI-assisted development: speed without confidence. These 7 habits show #Java teams how to keep quality, security, & maintainability intact.

Read: https://javapro.io/2026/03/12/7-habits-of-highly-effective-ai-java-coding/

@SonarSource

Wer #Vaadin wie ein normales Frontend behandelt, übersieht zentrale Sicherheitsmechanismen. @svenruppert zeigt, warum die Kontrolle im Servermodell liegt & wie Listener, Sessions & Security intern zusammenspielen.

Lies beide Teile:
https://javapro.io/de/vaadin-security-teil-1-die-schutzgrenze-liegt-im-server/
https://javapro.io/de/vaadin-security-teil-2-vom-vaadin-listener-zum-security-kern/

Ever noticed how quickly #AI prototypes collapse once real business workflows, security rules & changing data arrive? The model was never the hard part. Maarten Vandeperre & Nigon Camille break down the platform engineering behind sustainable enterprise AI: https://javapro.io/2026/06/17/enterprise-grade-ai-for-java-developers-behind-the-bar-of-the-ai-revolution/

#PlatformEngineering @QuarkusIO