Article URL: https://insideevs.com/news/800125/bmw-ix5-neue-klasse-ev-electric-suv/ Comments URL: https://news.ycombinator.com/item?id=48734715 Points: 15 # Comments: 12
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A seasoned software developer reflects on how the rise of large language models is reshaping his approach to personal coding projects. He describes a recurring career pattern of having to relearn his craft with each major technological shift, from Python and cloud platforms to machine learning and now LLMs. While he finds AI coding agents less efficient than his own expertise for familiar tasks, he notes they become powerful tools when tackling areas outside his comfort zone, such as frontend development. Personal projects, he argues, serve as a critical strategy for keeping pace with global tech trends beyond the constraints of commercial work. He frames LLMs not as replacements for developers but as enablers that expand what an individual can independently build and experiment with.
A category-based approach to inventory messaging argues that blanket urgency tactics like 'Only 3 left' do not work equally well across all product types. For unique or handmade goods, low-stock alerts create genuine urgency and can accelerate purchases, but for commodity or bulk-order products, the same message may drive buyers to seek more reliable suppliers instead. When a restock is expected, moving out-of-stock items to the end of a listing page allows interested customers to still find and reserve products, while hiding items with no planned restock prevents false expectations and redirects traffic to available alternatives. Platforms such as Microsoft Dynamics 365 Commerce support granular inventory configuration at the product and category level, making tailored messaging technically feasible. The author draws on multichannel e-commerce experience across Shopify, Amazon, eBay, and Etsy, as well as contributions to Microsoft's Dynamics 365 Commerce documentation.
A developer has published the first part of a hands-on guide to deploying Red Hat OpenShift Container Platform 4.18 from scratch using virtual machines hosted on RHEL 10. The tutorial follows a platform-agnostic, bare-metal installation methodology aligned with Red Hat's DO322 training course. Part 1 focuses on configuring a Utilities Server that manages DNS, DHCP, PXE booting via Kea, TFTP/HTTP file serving, and HAProxy load balancing for the cluster. The lab topology spans nine VMs — including bootstrap, control plane, and compute nodes — all networked through a dedicated internal subnet at 192.168.110.0/24. Subsequent parts of the series will cover Ignition config generation, deployment lifecycle, troubleshooting, and post-install hardening.
A Next.js developer has documented solutions to recurring errors encountered while building projects with the framework over several months. Key issues covered include the 'document is not defined' ReferenceError, which arises because Next.js renders pages server-side where browser APIs are unavailable, and can be resolved by moving such code into a useEffect hook. Hydration mismatches — caused by dynamic values like Date.now() or localStorage reads during rendering — are fixed by waiting until a component mounts before displaying client-specific content. Undefined environment variables typically stem from missing or misconfigured .env.local files, incorrect variable prefixes, or failing to restart the development server after changes. MongoDB connection errors and 'Module not found' issues are also addressed, with most fixes involving configuration checks such as verifying credentials, correcting import paths, and ensuring packages are properly installed.
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