Deepfakes — Believe at Your Own Risk

Claude Code’s Ultraplan Bridges the Gap Between Planning and Execution

Planning a complex code change is hard enough. Reviewing it in a terminal window shouldn’t make it harder. Anthropic is addressing that friction with a new capability called Ultraplan, currently in research preview as part of Claude Code. The feature moves the planning phase of a coding task from your local terminal to the cloud — and gives developers a richer environment to review, revise, and approve a plan before a single line of code changes. It’s a small workflow shift with real practical value, especially for teams working on large-scale migrations, service refactoring, or anything that requires careful coordination before execution begins. How it Works Ultraplan connects Claude Code’s command-line interface (CLI) to a cloud-based session running in plan mode. When a developer triggers it — either by running /ultraplan followed by a prompt, typing the word “ultraplan” anywhere in a standard prompt, or choosing to refine an existing local plan in the cloud — Claude picks u...

Java 26 Arrives With AI Integration and a New Ecosystem Portfolio — What It Means for DevOps Teams

Oracle released Java 26 on March 17, 2026, and while every six-month release comes with its own set of improvements, this one carries a broader message: Java isn’t just keeping pace with the AI era — it’s actively positioning itself as the infrastructure layer where AI workloads will run. For DevOps teams managing large Java estates, that’s worth paying attention to. The Scale of What You’re Already Running Before getting into what’s new, it helps to remember what’s already in place. According to a 2025 VDC study, Java is the number one language for overall enterprise use and for cloud-native deployments. There are 73 billion active JVMs running today, with 51 billion of those in the cloud. That scale matters when you’re thinking about where AI fits in. Most of the systems where agentic AI will eventually operate — transactional platforms, backend services, data pipelines — are already running on Java. The question for DevOps teams isn’t whether to adopt Java for AI. It’s how to ...

Security as Code is Becoming the New Baseline: Continuous Compliance in DevOps

There was a time when compliance meant a quarterly ritual. Someone from security would walk over with a spreadsheet, ask a few questions, tick a few boxes and disappear until the next audit cycle. The infrastructure team would scramble to prove that yes, encryption was enabled, and no, that S3 bucket was not public anymore. Everyone felt relieved, went back to shipping features and quietly hoped nothing would drift before the next review. That model is dead; it just hasn’t been buried yet. The problem is not that teams lack security awareness. Most engineering organizations today understand that vulnerabilities need catching early and that production environments need hardening. The problem is that compliance has historically lived outside the delivery pipeline — treated as a checkpoint rather than a continuous practice. In a world where teams deploy dozens of...

News and Tech Update

Search This Blog