Slides from Stephen Colebourne session: "Java SE 8 Best Practices" from the JAX London Conference
Java Core & JVM Languages
The conference for JAVA & Software Innovation
JAX London Blog
The conference for JAVA & Software Innovation
JAX London, 9-12 October 2017
Jun
8,
2015
Top Articles About Java Core & JVM Languages
Aug 5, 2025
Demystifying Thread Dumps: Your Guide to...
Thread dumps are vital artifacts for troubleshooting performance problems in production applications...
Apr 23, 2025
30 Years of Java...
Three decades of Java – sounds like a good reason to celebrate the programming language that’s b...
Jul 29, 2024
Learning and Building Deep Neural Networ...
The first article in this series about deep neural network basics offers a unique perspective on the...
Before you continue…
The reading list you'd build – if you had time.
Weekly
Articles + tutorials
The reads you'd find if you had time
2× / mo
Live webinars
Experts you can actually ask
Monthly
Magazine + whitepapers
Deep dives worth your weekend
On-demand
Recordings + courses
Past conferences, ready when you are
Explore other Tracks
Engineering Teams in the Age of AI
The team structures that worked yesterday need rethinking for AI adoption
The team structures that worked yesterday need rethinking for AI adoption
DevOps, CI/CD & Platform Engineering
The platform is what makes AI systems trustworthy in production
The platform is what makes AI systems trustworthy in production
Software Architecture for Intelligent Systems
Designing systems that stay coherent as intelligent capabilities enter the architecture.
Designing systems that stay coherent as intelligent capabilities enter the architecture.
Software Engineering Practices
Engineering judgment is what gives AI-generated code its quality.
Engineering judgment is what gives AI-generated code its quality.
AI in Development & Agentic Systems
The engineer who understands systems is the one who can direct AI
The engineer who understands systems is the one who can direct AI
Enterprise AI: Security, Scale & Performance
Keeping AI systems secure, cost-efficient, and stable under real-world conditions.
Keeping AI systems secure, cost-efficient, and stable under real-world conditions.