Dear JAX London speakers, friends and everyone interested!

Our Call for Papers for JAX London 2026 is well underway, and we are looking forward to your submissions.

We would like to share an important update:

Over the past weeks, we have reflected deeply on the direction of this year’s conference. In light of AI moving decisively into production systems, we are sharpening the focus of JAX London 2026:

AI is no longer just a tooling topic. It is becoming part of real enterprise systems. And that changes the conversation.

From our perspective, the decisive success factor for AI in enterprise environments is not the model itself. It is engineering discipline:

• Clear architecture
• Explicit non-functional requirements
• Structured testing and validation
• Security by design
• Traceability and observability
• Governance and ownership
• Long-term operational thinking

AI amplifies whatever system it enters. In well-structured systems, it increases leverage. In poorly structured systems, it accelerates instability.

For JAX London 2026, this means we are particularly interested in sessions that address:

• Enterprise architecture in the age of AI
• Real-world AI integration in production systems
• Non-functional requirements and trade-offs
• Testing and verification strategies
• Operational and governance models
• Technology-agnostic engineering principles that scale

We continue to welcome deep technical content. However, we are especially keen on experience-based contributions that demonstrate how robust systems are built and evolved under real-world constraints.

If you have lessons learned from integrating AI into enterprise software — or from strengthening engineering foundations to make AI viable — we would love to hear from you. Please send us your proposals by 13th April 2026.

Best,
The JAX London Team

Topics 2026:

• Enterprise AI: Architectures, Platforms, and Real-World Use Cases
• Core Java & Foundations: Programming, Tools, and JVM Languages
• Server-Side Java Development: Spring, Jakarta EE, Quarkus, and more
• Software Architecture & System Design: APIs, Microservices, and DDD
• Engineering Processes & Platforms: CI/CD, GitOps, and Developer Experience (DX)
• Kubernetes & Cloud-Native Engineering: DevOps, Workloads, and Scalability
• Modern Web Development: JavaScript, Angular, and more
• Generative AI, Data Engineering and Emerging Software Trends
• Security, Scalability, and Performance: Best Practices for Enterprise Applications
• Agile, Teams, and Flow: Accelerating Collaboration and Productivity