Welcome to this week's Trending Technology newsletter from CodeProject, produced by sdnews. |
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Not everything needs an LLM: A framework for evaluating when AI makes sense
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There will always be use cases where leveraging an ML implementation is not the right path forward. How do we as AI project managers evaluate our customers' needs for AI implementation? |
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The best new features and fixes in Python 3.14
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Template strings, deferred annotations, better error messages, and a new debugger interface are among the goodies in Python 3.14. Now in beta. |
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Fighting compliance trolls killing platform engineering |
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In platform engineering, you build it, you own it: software, risks, security, and compliance. Security and compliance departments are our friends! |
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Why we built our startup in C#
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C# has allowed us to be highly productive from the earliest days and it feels like a really solid foundation to build on. |
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Node.js 24: A faster, sleeker JavaScript experience
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If you're a developer knee-deep in web apps or wrestling with asynchronous code, this release is one for you. It's all about making Node.js quicker on its feet, more versatile, and even more in tune with the latest JavaScript standards. |
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WCAG 3.0's Proposed Scoring Model: A Shift In Accessibility Evaluation
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Rather than asking whether a requirement is technically met, it asks how well users with disabilities can complete meaningful tasks. |
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Why AI agents need a protocol like MCP to reach their potential
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MCP is "an open standard that enables developers to build secure, two-way connections between their data sources and AI-powered tools," Anthropic wrote in a blog post announcing it was open sourcing the protocol. |
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Microsoft Warns Default Helm Charts Could Leave Kubernetes Apps Exposed to Data Leaks |
"While these 'plug-and-play' options greatly simplify the setup process, they often prioritize ease of use over security," Michael Katchinskiy and Yossi Weizman from the Microsoft Defender for Cloud Research team said. |
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