mic talks.title

Dev containers simplify development setup by codifying tools, frameworks, versions, and dependencies in configuration. With only Docker installed loca...

Workshop on integrating generative AI into Java applications using tools like LangChain4j and Quarkus. Covers prompt engineering, RAG, tool calling (M...

Hands-on workshop on building production-grade AI in Java with LangChain4j. Learn CDI-based AI injection, conversational memory, function calling, dec...

The text introduces Kubernetes network exposure challenges and explains how the new standard Gateway API aims to simplify them. It covers standard and...

AI coding agents are transforming software development, enabling non-developers to build features and teams to work end-to-end. The talk explores real...

A major bank incident triggered a BaFin investigation after an 11TB Oracle Exadata system failed at 10 billion records. This session examines emergenc...

The talk argues that Java’s “boring” strengths—types, tests, static analysis, mature builds, formatting, observability, and more—help control AI agent...

An AI-agent workflow enabled building an 83,000-line Spring Boot developer UI in 11 days instead of 6.5–8.5 months. The talk explains how to orchestra...

Vidocq is an open-source, pure Java implementation of Jakarta EE Core Profile and MicroProfile with zero external dependencies, validated by 5,650 TCK...

A developer explains leaving Java for Python, then rediscovering Java through picocli, Quarkus, and TamboUI. The talk explores Java’s modern CLI, fast...

Docker’s Agentic Platform enables AI agents to autonomously read issues, code, test, and prepare pull requests in isolated sandboxes with secure ident...

LangChain4j’s agentic framework has evolved from fixed patterns to flexible orchestration, letting developers compose strategies for different use cas...

This presentation explains Architectural Decision Records (ADRs), showing how to create and maintain them and why they matter. It highlights their rol...

This talk introduces Spring AI agents as context orchestrators, starting with ChatClient, memory, Advisors, RAG, Tool Calling, and MCP. It then builds...

A deterministic compiler turns an enterprise context graph into governed agent workflows in Java, with control flow treated as a build artifact. The L...

This session shares best practices for MCP setups and AI agents in development workflows, focusing on quality, security, and avoiding unintended actio...

This talk describes moving an AI service from demo to production in an air-gapped defence environment with no internet, cloud APIs, or external servic...

AI is making software delivery faster, shifting the main bottleneck from execution to decision-making. This talk shows how AI can improve discovery, a...

This session covers AI security for agentic coding and AI-powered apps, including risks like prompt injection, tool abuse, poisoned retrieval, and mem...

This talk explores Maven 4’s long-awaited development, the challenges of evolving a mature ecosystem without breaking compatibility, and the motivatio...

Hands-on lab on Java observability using JDK Flight Recorder (JFR). Learn to capture, manage, and analyze recordings, create custom events, and integr...

Talk on preventing “AI slop” by enforcing code quality in AI-generated codebases. It covers agent design feedback loops and ways to preserve human rev...

Ask the Oracle engineers anything related to your favourite programming language & runtime!

This session introduces AsyncAPI, the spec-first counterpart to OpenAPI for event-driven systems. Through a live demo, it generates a Spring Boot Kafk...

This talk introduces Tiberius, a Java-native tool for LLM security and safety testing. It uses probabilistic multi-trial scans, security contracts, an...