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Vibe coding may be the software development zeitgeist du jour, but vibing with AI isn’t all it’s cracked up to be. Here are nine ways overly optimistic vibe coders can fail.
If you want trustworthy AI results, you need trustworthy people shaping the prompts, verifying the data, and overseeing the whole AI process.
Stream processing engine allows users to define and manage AI models in Java, Python, and Flink SQL and invoke them in real time within Flink SQL.
The latest JavaScript update dropped recently, with three big new features that are worth your time. Also this month: A fresh look at Lit, embracing the human side of AI-driven development, and more.
Described as a major release, .NET Aspire 9.4 features a set of CLI core commands for building cloud-ready, distributed apps and AI hosting integrations.
Learn how to use pattern-matching features in your Java programs, including pattern matching with switch statements, when clauses, sealed classes, and a preview of primitive type pattern matching in Java 23.
Model Context Protocol makes it far easier to integrate LLMs and your APIs. Let’s walk through how MCP clients and servers communicate, securely.
Microsoft’s tools for monitoring virtual machines bridge the cloud and the underlying data centers.
84% of developers surveyed by Stack Overflow either use or plan to use AI tools, while 64% cited ‘almost right’ AI output and debugging AI code as their top frustrations.
Lit builds on Mozilla’s Web Components standard to deliver simple, compliant reactive front ends. In a world of sprawling tech alternatives, it may offer a clear path forward.