2026 Java trends: TIOBE and Stack Overflow rankings, enterprise adoption by industry, Spring Boot and framework data, Java version distribution, AI/ML integration, and runtime performance benchmarks.
Post-Quantum Cryptography Support in Java
Quantum computers are advancing, and they could soon break the encryption that protects todayโs data. RSA and ECC, which are standard today, may not stand up to quantum attacks. This makes post-quantum cryptography a key part of planning for long-term security. Java is already preparing for this future. New updates in the JDK add support for quantum-safe algorithms, giving developers …
Spring AI: An Overview
Integrating AI into Java projects has traditionally been complexโrequiring multiple SDKs, custom integrations, and provider-specific code. Spring AI simplifies this process by providing a single, consistent layer for working with large language models in Spring Boot. No more stitching together libraries or rewriting code for every provider. In this guide, weโll explore what Spring AI is, why it matters for …
Writing Java Code and Unit Tests Faster with GitHub Copilot
In this post, weโll explore how to use GitHub Copilot to generate Java code and unit tests with minimal manual input. Using a real-world exampleโa mortgage calculator serviceโyouโll see how Copilot can help write both the core logic and the corresponding unit tests. Whether youโre new to AI-assisted development or curious about Copilotโs capabilities in a Java environment, this tutorial will give you practical insight into how it worksโand where human oversight still matters.
How I Built a Developer Digital Twin with Agentic AI (And What It Got Right & Wrong)
This post walks through a hands-on experiment in agentic development using an AI-powered digital twin embedded in the IDE. See how a single, well-structured prompt enabled the agent to implement a real user story, generate behavioral tests, and prepare Git commit documentationโwith minimal developer input. Includes real-world code samples, implementation insights, and a candid look at what worked, what didnโt, and where human oversight is still essential.