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World Congress 2025 • Aug 20, 2025 • Session details

Supercharge Agentic AI Apps: A DevEx-Driven Approach to Cloud-Native Scaffolding

Daniel Oh

Stop wrestling with Python-heavy workflows. Build autonomous AI agents in under 20 lines of Java. See how Quarkus eliminates infrastructure friction to supercharge your developer experience.

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#1 about 4 min

Evolving from generative AI to autonomous agentic AI

Developers can move beyond generating static content by building systems that autonomously decide which external tools to invoke.

#2 about 4 min

Building blocks and unpredictable edge cases in agentic AI

Multi-agent systems augment standard components like system memory with autonomous logic, though they remain limited by completely unpredictable edge cases.

#3 about 2 min

Addressing the Python bias in AI frameworks for Java

Java engineers can overcome the Python-centric bias of AI tooling by leveraging frameworks like Quarkus and LangChain4j.

#4 about 3 min

Designing an MCP architecture for cloud-native AI scaffolding

Simplifying cloud-native application scaffolding involves configuring AI services that act as clients while abstracting external server infrastructure.

#5 about 4 min

Bootstrapping a Quarkus AI project with MCP integrations

Developers can rapidly bootstrap new projects with visual UI tools and predefined maven dependencies rather than building boilerplate architectures.

#6 about 4 min

Implementing an autonomous agent interface with LangChain4j

Transforming a conventional Java interface into an autonomous system requires only minimal annotations and a prompt defining tool usage.

#7 about 5 min

Configuring external tools and MCP servers without boilerplate code

Managing multiple runtime environments is eliminated by mapping API keys and external communication services directly within the application properties file.

#8 about 7 min

Testing conversational agents with complex natural language prompts

Engineers can test conversational capabilities by supplying natural language prompts that force the logic to sequentially execute external searches.

#9 about 3 min

Distributing multi-agent templates via Backstage internal developer portals

Platform teams can distribute standardized code templates via internal developer portals to prevent complex environment configuration bottlenecks.

#10 about 2 min

Future roadmap for the Model Context Protocol ecosystem

The open source ecosystem will soon introduce centralized tool registries and graph-based workflows to streamline capability discovery for production teams.

Matching moments

1:55 min

Shifting developer workloads and realistic AI productivity gains

Chris Heilmann Chris Heilmann +2 · LIVE

1:44 min

Summarizing developer experience and artificial intelligence companions

Robert Hoffmann Robert Hoffmann +1 · LIVE

2:03 min

Navigating the diverse ecosystem of AI agent harnesses

Emmanuel Acheampong Emmanuel Acheampong · World Congress 2026 North America

2:22 min

Orchestrating local developer environments with AI tools

Angie Jones Angie Jones · World Congress 2025

1:07 min

Accelerating application development through open artificial intelligence harnesses

Justin Boitano Justin Boitano +2 · World Congress 2026 North America

1:22 min

Leveraging the comprehensive generative artificial intelligence stack

Duan Lightfoot Duan Lightfoot · World Congress 2024

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