Open-source Java projects advance Jakarta EE compatibility, persistence capabilities, and developer tooling as enterprise teams prepare for the next generation of Java applications.

AI-assisted software development has evolved significantly over the last few years, moving from isolated code completion toward structured execution models that resemble automation levels seen in ...

Every morning, millions of Americans engage in a quiet, collective ritual. We wake up, often pull a smartphone from our ...

An enterprise buyer’s guide to choosing a new AppSec operating model, not merely replacing a scanner. Veracode has evolved into a broad application risk management platform. Its portfolio includes ...

As AI drives the marginal cost of software development down, the real enterprise bottleneck may no longer be code. That shift ...

The Java Community Process formally launches development of Java SE 28, with Project Valhalla once again positioned as the release's most closely watched feature.

Spring AI 2.0 advances the Java framework for generative AI apps with a Spring Boot 4 baseline, cleaner agentic tooling, Model Context Protocol support and vendor-backed integrations including Azure ...

A major overhaul of the Model Context Protocol due next month removes several longstanding protocol-level security risks but ...

A comparison of eight AI-powered requirements management platforms for 2026, from NLP-based quality analysis and automated test generation to live traceability scoring, covering Jama Connect, IBM ...

How spec-driven development keeps you in control of AI codeBy Ewan Mc Phail, Lead AI Engineer at DVTIssued by Communikay for DVTJohannesburg, 07 Jul 2026 Ewan Mc Phail, Lead AI Engineer at DVT. Back ...