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ShopOS Secures $20 M to Build an AI‑Driven Commerce Operating System

ShopOS Secures $20 M to Build an AI‑Driven Commerce Operating System

ShopOS, an AI‑native creative content platform for e‑commerce, has closed a $20 million round led by Binny Bansal’s 3STATE Ventures. The funding will accelerate its agent‑powered content engine, positioning the company at the intersection of generative AI and cross‑border retail. Developers and product teams can now explore how ShopOS’s modular agents transform catalog creation, marketing assets, and personalization at scale.
SK Hynix Signals DRAM Shortage to Endure Through 2028, Pressuring Gaming and AI Markets

SK Hynix Signals DRAM Shortage to Endure Through 2028, Pressuring Gaming and AI Markets

SK Hynix’s latest forecast warns that commodity DRAM—DDR5, DDR4, GDDR6/7, and LPDDR5x/6—will remain scarce until 2028, potentially driving up prices for gamers and consumer devices. The company’s focus on expanding HBM and SOCAMM capacity with Low‑NA EUV tools highlights a strategic shift that could widen the gap between high‑performance and mainstream memory markets.

Beyond Rebase: A Novel Approach to Atomic Commits with Git Stash

As developers increasingly adopt atomic commit practices, one developer offers an alternative to complex rebase workflows and stacked diffs. This new approach leverages Git's built-in stash functionality to create a seamless workflow for maintaining clean, logical commit histories without sacrificing productivity.
The Gorman Paradox: Why AI Coding Assistants Fail in Production

The Gorman Paradox: Why AI Coding Assistants Fail in Production

Despite claims of massive productivity gains, AI coding assistants have failed to transform real-world software development. This article explores the "Gorman Paradox" - the hidden constraints that prevent AI-assisted code from reaching production at scale.
Why Kubernetes Is Eating Your Cloud Dollars and How to Stop It

Why Kubernetes Is Eating Your Cloud Dollars and How to Stop It

Kubernetes was built for flexibility, not efficiency, leaving teams to overprovision and underutilize resources. This article traces the root causes—from static resource requests to flawed autoscalers—and shows how modern tools like Karpenter and predictive scheduling can turn the tide.