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World Congress 2026 Europe • Jul 9, 2026 • Session details

Building the Future of Java: AI Agents, MCP, and Next-Gen App Development

Daniel Oh

Simple code completion is dead. Discover how autonomous AI agents, Quarkus, and the Model Context Protocol empower developers to build self-healing Java applications.

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#1 about 4 min

Transitioning from script generation to reasoning AI agents

How AI tools evolved from simple code completion to autonomous problem solving.

#2 about 2 min

Context-aware AI for enterprise business applications

Why AI assistants must contextually understand existing projects before generating domain-specific business features.

#3 about 3 min

Enhancing AI tool discoverability with Model Context Protocol

Connecting universal LLMs to specialized enterprise tools using the Model Context Protocol.

#4 about 3 min

Accelerating AI delivery with Quarkus and LangChain4j

Combining Quarkus and LangChain4j to handle memory vectors and rapid application delivery.

#5 about 3 min

Designing AI workflows for application fault tolerance

Planning a resilient architecture featuring observability and automatic retries before writing new code.

#6 about 6 min

Scaffolding Java projects utilizing IBM Bob and MCP

Using an official Quarkus MCP server inside VS Code to guarantee syntax accuracy.

#7 about 5 min

Automating Java dependency integration and continuous testing

Querying live documentation automatically to update configuration files and write functional tests.

#8 about 3 min

Generating front-end web interfaces to debug REST APIs

Creating a basic single-page application and clear documentation to test REST APIs effectively.

#9 about 6 min

Testing circuit breakers and system fallback functionality

Simulating application failures to validate recovery configurations and real-time backend communication logs.

#10 about 3 min

Scaling declarative multi-agent software workflows on Kubernetes

Deploying memory-optimized, multi-language autonomous agent architectures for enterprise production environments.

Matching moments

4:08 min

Transitioning software engineering teams to AI-native development workflows

Florian Deter Florian Deter +4 · WWC Europe 2026

1:55 min

Shifting developer workloads and realistic AI productivity gains

Chris Heilmann +2 · LIVE

2:21 min

Applying context engineering across the full software lifecycle

Neel Sundaresan Neel Sundaresan +1 · WWC Europe 2026

2:34 min

Balancing developer autonomy with the adoption of coding agents

Clemens Wasner Clemens Wasner +4 · WWC Europe 2026

3:56 min

The evolution of AI programming and agentic workflows

Fabian Hedin Fabian Hedin · WWC Europe 2026

6:35 min

Modernizing legacy COBOL mainframe systems using AI agents

Chris Heilmann +2 · LIVE

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