Oracle uses JavaOne 2026 to launch JDK 26 and argue that Java can stay relevant in the AI era by building on its traditional strengths in performance, language evolution, and enterprise stability.
Microsoft’s Visual Studio Code development environment will move from monthly updates to a weekly release schedule, beginning with version 1.111, according to the development team.
AI agents will become part of the enterprise application layer. Microsoft’s new Agent 365 platform signals a shift from AI as a chat assistant to AI as an operational actor capable of calling services ...
JetBrains has launched a public preview of Air, a macOS tool designed to let developers run and manage multiple AI coding agents in one interface.< ...
Google added a new “plan mode” to Gemini CLI. The feature places the tool in a read-only environment where developers can analyze codebases, research changes, and design implementation strategies ...
Software quality assurance provider Tricentis has introduced a new enterprise platform designed to apply artificial intelligence agents across software testing and quality engineering processes.
Tensor and Arm formed a multi-year partnership to support autonomous vehicles. Tensor will use ARM’s compute platform to power the AI systems behind its planned Level 4 autonomous Robocar. Each ...
In the AI developer boom, some of the most important battlegrounds are not glamorous models or splashy chatbots. They are the quiet pipes that keep modern coding tools fed and up to date.
Apache Geode has been revived after a near shutdown. Geode 2.0 is positioned as a modernization reset, not a minor upgrade.
GraalVM is now a “Patch Tuesday” dependency. The newest release (25.0.2, Jan. 20, 2026) is explicitly aligned to Oracle’s quarterly Critical Patch Update cadence, making upgrades more predictable and ...
Red Hat and Nvidia are packaging AIOps into a single “factory” stack by combining Red Hat AI Enterprise with NVIDIA AI Enterprise for end-to-end, production-scale deployments. The focus is scaling ...
If you’ve been using AI copilots to build on fast-moving platforms like Firebase, Android, or Google Cloud, you’ve probably hit the same wall: the model sounds confident… and is still wrong. Not ...