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The Inherent Noise of Software Cycle Time: Why Individual Metrics Mislead Engineering Leaders

The Inherent Noise of Software Cycle Time: Why Individual Metrics Mislead Engineering Leaders

New research analyzing 12,000 developers reveals that cycle time—the go-to metric for engineering productivity—is so inherently variable that individual snapshots are meaningless. Instead, improving software velocity demands system-level interventions, not blame or praise for developers, as factors like task scoping and defects create unavoidable noise in the system.

Unlocking Hybrid Storage Performance: LVM Caching for HDD-SSD Arrays

Learn how to leverage Linux's Logical Volume Manager (LVM) to create high-performance, cost-effective storage arrays by caching frequently accessed HDD data on SSDs. This guide walks through RAID 1 configuration, cache partitioning, and performance optimization for use cases like data mirrors and local LLM storage.

Tencent Hunyuan Launches Open 3D Model Repository, Accelerating AI-Driven Virtual World Development

Tencent has unveiled a public repository of 3D models through its Hunyuan AI platform, enabling developers to access and integrate assets for virtual environments. This move signals a strategic push into AI-generated content, potentially democratizing 3D design for gaming, simulations, and the metaverse. For engineers, it promises streamlined workflows but raises questions about intellectual property and model quality.

Shynet Emerges as Privacy-First, Self-Hosted Alternative to Google Analytics

Shynet, an open-source analytics platform, is gaining traction for its unique approach: tracking without cookies or JavaScript. Built with Django and PostgreSQL, it offers self-hosting capabilities and prioritizes user privacy, presenting a compelling option for developers seeking ethical web analytics.
UN Chief Demands AI Giants Go Green: Renewable Energy Push for Data Centers by 2030

UN Chief Demands AI Giants Go Green: Renewable Energy Push for Data Centers by 2030

UN Secretary-General Antonio Guterres has called on major tech firms to commit to 100% renewable energy for AI data centers by 2030, warning that their soaring electricity demands are unsustainable. With data centers projected to consume as much power as Japan by 2030, Guterres urged the industry to leverage AI itself for efficiency gains.