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@varbear shared a link, 1 month, 2 weeks ago

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If you're a Zoomer, this one's for you: Everything Gen Z needs to know about the 2025 tech landscape

AI investment hit $1.5T in 2025. Think dot-com energy: bloated valuations, feverish M&A. Startup acquisitions shot up 13%. Deal volume? Up 115%. Hype’s worn thin. Enterprises are done lighting money on fire with flashy tools. Focus is shifting to agents - LLMs thatdothings, not justsaythings. System.. read more

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@kaptain shared a link, 1 month, 2 weeks ago

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Building Production-Grade Micro services on Azure Kubernetes

A team running microservices onAzure Kubernetes Servicegave their setup a smart overhaul: critical state stayed managed inPostgreSQL, but compute and observability went DIY. The payoff? Major cost cuts. Interrupt-friendly jobs landed onspot instances, and they ditched pricey per-GB logging for a hom.. read more

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@kaptain shared a link, 1 month, 2 weeks ago

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v1.35: Mutable PersistentVolume Node Affinity (alpha)

Kubernetes 1.35 (alpha) cracks openPersistentVolume node affinity. You can now update it on the fly. Before, it was locked down - once set, it stayed set. That got in the way of shifting workloads when disks were upgraded or moved across zones. Now? More flexibility. Less pain... read more

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@kaptain shared a link, 1 month, 2 weeks ago

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What has Docker become?

Docker’s not just about containers anymore. It’s pivoting hard into AI infrastructure - with some teeth. The newModel Runner,GPU offloading, and fresh AI-native integrations with Google Cloud and Vercel show where it’s headed: less dev environment, more AI runtime engine. Under the hood, Docker drop.. read more

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@kaptain shared a link, 1 month, 2 weeks ago

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Dockhand - The Ultimate Self-Hosted Docker Management Tool

Dockhand just dropped, and it's aiming straight at the bloated SaaS stack. It’s a fully self-hosted Docker management tool with zero license walls. Local or remote? Doesn’t matter. It even plays nice behind NAT using outbound WebSocket agents. You get container lifecycle controls, a visual Compose e.. read more

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@kala shared a link, 1 month, 2 weeks ago

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How to build a Frontend for LangChain Deep Agents with CopilotKit!

LangChain recently introduced Deep Agents: a new way to build structured, multi-agent systems that can plan, delegate, and reason across multiple steps. It comes with built-in planning, a filesystem for context, and subagent spawning. But connecting that agent to a real frontend is still surprisingl.. read more

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@kala shared a link, 1 month, 2 weeks ago

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How to Train an AI Agent for Command-Line Tasks with Synthetic Data and Reinforcement Learning

NVIDIA shows how to fine-tuneNemotron-Nano-9B-V2to handle new CLI tools - without touching real user data. The trick? A mix ofsynthetic data,reinforcement learning with verifiable rewards (RLVR), and their home-grown trainer stack:NeMo GymplusGRPO. The result: an LLM agent that adapts fast, plays ni.. read more

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@kala shared a link, 1 month, 2 weeks ago

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Don't fall into the anti-AI hype

The writer recently left their job to explore AI and programming through various projects, including creating a YouTube channel focused on these topics. They discuss how AI is changing the landscape of programming, allowing for faster, more efficient coding methods. Despite concerns about job displa.. read more

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@kala shared a link, 1 month, 2 weeks ago

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The Rise of GPUOps: Where Infrastructure Meets Thermodynamics

GPU demand for AI has shot up 600% since 2020. It’s outpaced the cloud abstractions devs rely on - highlighting a growing gap between slick DevOps dashboards and the gritty realities of heat, cost, and silicon. EnterGPUOps. It's not just a trend - it’s a new layer in the stack. Think observability w.. read more

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@devopslinks shared a link, 1 month, 2 weeks ago

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How we built an AI SRE agent that investigates like a team of engineers

Datadog just droppedBits AI SRE, an autonomous agent that thinks more like an SRE than a chatbot. It doesn't just regurgitate summaries - it investigates. It builds hypotheses, tests them against telemetry, and chases down actual root causes. Older tools leaned hard on LLMs to summarize alerts. That.. read more

Magecomp Magento 2 Multiple Wishlist Extension is a powerful tool designed to enhance the default wishlist functionality in Magento 2. Developed by Magecomp, a trusted provider of Magento extensions, this extension offers advanced features and flexibility for creating multiple wishlists on your Magento 2 store.

Wishlists are an essential feature for any e-commerce store as they allow customers to save products for future reference or purchase. However, the default Magento 2 wishlist functionality only allows customers to create a single wishlist. This limitation can be restrictive, especially for customers who want to organize their saved products into different categories or share specific wishlists with others.

Magecomp's Multiple Wishlist Extension addresses these limitations by enabling customers to create and manage multiple wishlists effortlessly. Here are some key features and benefits of this extension:

Multiple Wishlists: The extension allows customers to create multiple wishlists based on their preferences. Customers can organize their saved products into different wishlists, such as "Birthday Gifts," "Holiday Shopping," or "Favorite Items," providing them with better control and organization over their desired products.

Wishlist Sharing: With this extension, customers can easily share their wishlists with friends, family, or on social media platforms. The sharing functionality enhances customer engagement and encourages social interaction, allowing customers to get opinions or recommendations from others before making a purchase decision.

Privacy Control: Magecomp's Multiple Wishlist Extension provides customers with privacy control options. Customers can choose to keep their wishlists private or make them public, depending on their preferences. Public wishlists can be viewed and accessed by others, which can be useful for sharing gift ideas or creating collaborative wishlists.

Wishlist Search and Filtering: The extension enhances the usability of wishlists by adding search and filtering options. Customers can search for specific products within a wishlist or filter products based on various attributes such as price, brand, or category. This feature simplifies the process of finding desired products within a large wishlist, improving the overall user experience.

Bulk Actions: Customers can perform bulk actions on their wishlists, such as adding multiple products to the cart, removing selected products, or moving items between wishlists. These bulk actions save time and provide convenience to customers when managing their wishlists.

Customization Options: The Multiple Wishlist Extension allows store owners to customize various aspects of the wishlists, including layout, design, and display options. This customization capability ensures that the wishlists seamlessly integrate with the overall look and feel of the Magento 2 store.

Easy Integration: The extension is designed to seamlessly integrate with the Magento 2 platform. It is easy to install, configure, and use, without requiring extensive technical knowledge or coding skills.

In conclusion, Magecomp Magento 2 Multiple Wishlist Extension is a valuable addition to any Magento 2 store, empowering customers with the ability to create and manage multiple wishlists. With enhanced features like wishlist sharing, privacy control, search and filtering options, and customization capabilities, this extension improves the user experience and boosts customer engagement on your e-commerce website.

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