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@varbear shared a link, 1 month ago
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Slop Creep: The Great Enshittification of Software

The argument is that coding agents accelerate codebase decay by removing the natural speed limit on bad architectural decisions, compressing months of compounding mistakes into days. The defense is to invest ten times more in the planning phase, with concrete code snippets for the data models and ab.. read more  

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@kaptain shared a link, 1 month ago
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CNCF Project Antrea Compromised in Daring GitHub Attack

A throwaway GitHub account compromised CNCF projectAntrea's Jenkins infrastructure on May 2 by opening a malicious PR and firing/test-*slash-commands that detonated the workflow against PR-fork code with credentials in scope. The same operator ran parallel campaigns against at least seven other proj.. read more  

CNCF Project Antrea Compromised in Daring GitHub Attack
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@kaptain shared a link, 1 month ago
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v1.36: Moving Volume Group Snapshots to GA

Volume group snapshots reachedGAin Kubernetesv1.36, with the API promoted togroupsnapshot.storage.k8s.io/v1. The feature lets aVolumeGroupSnapshotobject take crash-consistent snapshots across multiple PVCs selected by label, removing the need to quiesce applications that span separate data and log v.. read more  

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@kaptain shared a link, 1 month ago
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How Cloud Native Infrastructure Powers AI on Kubernetes

A vendor piece from Mirantis arguing that GPU multi-tenancy on Kubernetes is widely misrepresented, with most platforms shipping namespace-based isolation while production GPU clouds require hardware-enforced separation through MIG partitioning, cluster-per-tenant architecture, and DPU-based network.. read more  

How Cloud Native Infrastructure Powers AI on Kubernetes
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@kaptain shared a link, 1 month ago
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v1.36: Declarative Validation Graduates to GA

Declarative validation graduated toGAin Kubernetesv1.36, replacing handwritten Go validation with+k8s:marker tags on field definitions... read more  

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@kaptain shared a link, 1 month ago
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v1.36: Server-Side Sharded List and Watch

Alpha inv1.36, server-side sharded list and watch adds ashardSelectorfield toListOptionsso the API server uses an FNV-1a hash onmetadata.uidormetadata.namespaceto send each controller replica only its slice of the resource collection. This eliminates the cost of every replica deserializing the full .. read more  

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@kala shared a link, 1 month ago
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Orchestrating AI Code Review at scale

Cloudflare engineers built an AI code review platform on OpenCode. They split GitLab integration, model providers, prompts, and policy into separate plugins. A coordinator assigns up to seven domain reviewers across security, performance, code quality, documentation, release checks, and AGENTS.md co.. read more  

Orchestrating AI Code Review at scale
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@kala shared a link, 1 month ago
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How We Built an AI Second Brain for 60K Knowledge Workers

Meta built an AI agent system internally called the AI Second Brain that now has over 63,000 installs and ~10,000 daily active users across engineering, PM, design, legal, finance, comms, and sales, growing from zero in roughly three months after a non-technical PM's adoption post. The architecture .. read more  

How We Built an AI Second Brain for 60K Knowledge Workers
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@kala shared a link, 1 month ago
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Democratizing Machine Learning at Netflix: Building the Model Lifecycle Graph

Netflix's Saish Sali, Nipun Kumar, and Sura Elamurugu describe the Metadata Service (MDS), a graph layer built to connect siloed ML tooling (model registry, pipeline orchestrator, experimentation platform, feature store, dataset platform, identity) across personalization, studio, payments, and ads. .. read more  

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@kala shared a link, 1 month ago
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The AWS MCP Server is now generally available

AWS now offers AWS MCP Server as a managed remote MCP server in US East (N. Virginia) and Europe (Frankfurt). MCP-compatible clients can use existing IAM credentials to access more than 15,000 AWS API operations. For GA, AWS added IAM context keys, documentation retrieval without authentication, low.. read more  

The AWS MCP Server is now generally available
CubeTaxi is a trusted on-demand app development company specializing in advanced white-label taxi booking and multi-service app solutions for new businesses, start-ups, and large enterprises around the world. With years of industry expertise, CubeTaxi helps businesses launch scalable digital platforms like Uber clone app, Gojek clone app, and other delivery apps, fully ready to go live on both the App Store and Google Play within a short timeframe. 

CubeTaxi not only creates apps but we go beyond just app development. We empower businesses to build and scale successful on-demand businesses. Our solutions come equipped with the latest technologies and provide a modern UI/UX, a strong back-end architecture, and a comprehensive set of features that allow for seamless integration into current operating procedures and the best user experience possible. 

We offer fully customizable and scalable solutions options for every type of business model, including multi-service platforms with 100+ integrated services such as ride-hailing, delivery, home services, and more. In addition, Our team will assist you with deploying your application smoothly, integrating secure payment options into your process, and providing ongoing technical assistance in order to help you compete effectively in your market. 

With a strong global presence, CubeTaxi has successfully delivered different clone app solutions to clients across multiple countries, helping them generate new revenue streams and build a strong online presence. 

Our Expertise Includes: 

Taxi Booking App Development (Uber Clone App)
Multi-Service App Development (Gojek Clone App)
On-Demand Delivery App Solutions (Food, Grocery, Parcel)
White-Label App Solutions with Full Customization
Payment Gateway & Third-Party Integrations

Our Vision

To empower businesses worldwide with innovative, scalable, and ready-to-launch on-demand app solutions that drive growth, efficiency, and long-term success.