JAX London Blog

Event Sourcing, Durable Execution, and Consensus Protocols are often presented as distinct architectural patterns, but they all rely on the same foundational abstraction: the distributed log. In this article, you'll learn how the simple properties of append-only logs—immutability, ordering, and deterministic replay—enable systems to maintain consistency, recover from failures, and...

Artificial intelligence has given software development a speed it never had before. That's what makes it dangerous – not because it writes unreliable code, but because speed without direction runs straight into disaster. At JAX London, several leading engineers arrive at the conclusion: what matters now isn't the programming language,...

Graph databases are unfairly overlooked. While other NoSQL systems have established themselves as alternatives to relational database systems, graph databases haven't quite broken out of their niche. But there are many use cases where they offer excellent solutions. It's time for a hands-on introduction using Neo4j as an example.

This article will walk you through an example application that demonstrates how to utilize the Spring AI advisors for GraphRAG. You’ll learn about the Spring AI advisor API and how it can streamline interactions between LLMs and applications with reusable components.

In the rapidly shifting landscape of software engineering, the arrival of AI feels like a "scary moment" for many. Our identity as builders and creators is being challenged. In this insightful keynote, Russell Miles explores how we can navigate this transition not by fearing the technology, but by evolving our...

JAX London has always been grounded in real-world software engineering — focused on building stable, maintainable systems in production. With AI changing how these systems behave, the conference takes the next step: extending this focus into Enterprise AI — a direct consequence of what software engineering now requires.