3 posts tagged with "AI"

Earlier this year, Azul, a Java-focused company, released its 2026 State of Java Survey & Report. Based on responses from over 2,000 Java professionals worldwide, Azul revealed that developers are focused on managing cloud computing, securing apps, and controlling AI output.

Java remains a dominant force in development, with 64% of respondents reporting that more than half of their apps or workloads are built with Java or run on a Java Virtual Machine (JVM). For developers who wish to bring their apps to the browser with minimal changes to their architecture, webforJ offers a strategic approach to modernizing apps quickly and efficiently.

AI tools are changing the way people work, and it's easy to get left behind. They can be very powerful, but require some configuration and practice to really unlock their potential. While you're still doing things the way you always have, your peers are excitedly talking about how their autonomous AI agents are building and testing apps, completely transforming what it means to be productive and efficient, and what it means to "code." Maybe you occasionally use an AI as a fancy search engine or research tool, but it's certainly not doing your work for you. You might find yourself wondering: what are they doing differently?

As AI coding tools, assistants, and agents become increasingly powerful, professional engineers and casual vibe coders alike can go from concept to compilation faster than ever before. On top of that, meta-prompting systems like get-shit-done and Auto-Claude automate entire development workflows, so that the AI doesn't just write the code, but verifies it as well.

AI tools certainly accelerate output, and are very impressive at first glance. But what impact are they having on code quality? Can the open source ecosystem withstand the flood of AI-generated PRs? How can developers use AI without sacrificing understanding and quality?

Research into these questions is still emerging, but the current findings suggest that for anything that requires security, maintainability, and performance, it's best not to put too much trust in AI-written code.

This is why we've made a strategic choice at webforJ: AI-assisted development, but human-owned code.