🤖 Less hype. More engineering.
The AI Engineering Track at Devnexus is all about building real, production-ready AI systems with Java, agents, and modern architecture.
🔗
devnexus.com/schedule/ai
Here’s what’s coming in the AI Engineering Track:
• Design Patterns for Multi-Agent Systems —
@bsbodden
• Brokk: an AI-Native Code Platform for Java, in Java —
@spyced
• Fundamentals of Software Engineering in the Age of AI —
@ntschutta &
@therealdanvega
• Hands-on Embabel —
@springrod
• The Evolution of Memory in Humans and AI Agents —
@raphaeldelio
• GraphContext: Connecting the Dots with Graphs —
@steveonjava
• The Missing Protocol: How MCP Bridges LLMs and Data Streams —
@gamussa
• Agentic AI for Java Microservices: Cloud Performance Optimization at FinTech Scale —
@sibaspadhi
• Stop Fighting Your AI: Engineering Prompts That Actually Work —
@martinrojas
• AI Agents for Java Devs: From Demo to Deployment —
@bbenz
This is one of 11 tracks at Devnexus — designed for engineers who want to stay relevant, competitive, and ahead as AI reshapes software development.
🚀 Don’t just learn about AI — learn how to engineer it.
🎟️ Secure your ticket and build the skills that will define the next generation of software.
devnexus.com
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