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A one-line Kubernetes fix that saved 600 hours a year

Atlantis, a tool for planning and applying Terraform changes, faced slow restarts of up to 30 minutes due to a safe default in Kubernetes that became a bottleneck as the persistent volume used by Atlantis grew to millions of files. After investigation, a one-line change to fsGroupChangePolicy reduce.. read more  

A one-line Kubernetes fix that saved 600 hours a year
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Trivy Hack Spreads Infostealer via Docker, Triggers Worm and Kubernetes Wiper

Cybersecurity researchers found malicious artifacts distributed via Docker Hub after the Trivy supply chain attack. Malicious versions 0.69.4, 0.69.5, and 0.69.6 of Trivy were removed from the image library. Threat actor TeamPCP targeted Aqua Security's GitHub organization, compromising 44 repositor.. read more  

Trivy Hack Spreads Infostealer via Docker, Triggers Worm and Kubernetes Wiper
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jsongrep is faster than {jq, jmespath, jsonpath-rust, jql}

This article introduces a tool called jsongrep, explains the internal search engine it uses, and outlines the benchmarking strategy used to compare its performance with other JSON path-like query tools. The tool parses the JSON document, constructs an NFA from the query, determinizes the NFA into a .. read more  

jsongrep is faster than {jq, jmespath, jsonpath-rust, jql}
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Deploying Disaggregated LLM Inference Workloads on Kubernetes

In large language model (LLM) inference workloads, a single monolithic serving process can hit its limits due to different compute profiles for prefill and decode stages. Disaggregated serving splits the pipeline into distinct stages to better utilize GPU resources and scale more flexibly on Kuberne.. read more  

Deploying Disaggregated LLM Inference Workloads on Kubernetes
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@kala shared a link, 1 month, 1 week ago
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What 81,000 people want from AI

Anthropic used a version of Claude to interview 80,508 users across 159 countries and 70 languages - claiming the largest qualitative AI study ever conducted. The top ask wasn't productivity, it was time back for things that matter outside of work. The top fear was hallucinations and unreliability. .. read more  

What 81,000 people want from AI
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@kala shared a link, 1 month, 1 week ago
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Building a digital doorman

Larson runs a dual-agent system. A tiny public doorman,nullclaw, lives on a $7 VPS. A private host,ironclaw, runs over Tailscale. Nullclaw sandboxes repo cloning. It routes heavy work to ironclaw viaA2AJSON‑RPC. It enforcesUFW, Cloudflare proxying, and single‑gateway billing... read more  

Building a digital doorman
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@kala shared a link, 1 month, 1 week ago
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Multi-Agent AI Systems: Architecture Patterns for Enterprise Deployment

Last quarter, a mid-sized insurance company struggled to deploy an AI agent that collapsed in production due to cognitive overload. Enterprises are facing similar challenges when building single-agent AI systems and are moving towards multi-agent architectures to distribute responsibilities effectiv.. read more  

Multi-Agent AI Systems: Architecture Patterns for Enterprise Deployment
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Inside our approach to the Model Spec

OpenAI introduces Model Spec, a formal framework defining behavioral rules for their AI models to follow, aiming for transparency, safety, and public insight. The Model Spec includes a Chain of Command to resolve instruction conflicts and interpretive aids for consistent gray area decisions, emphasi.. read more  

Inside our approach to the Model Spec
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How OpenAI Codex Works

Engineering leaders report limited ROI from AI, often missing full lifecycle costs. OpenAI's Codex model for cloud-based coding required significant engineering work beyond the AI model itself. The system's orchestration layer ensures rich context for the model to execute tasks effectively... read more  

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Software engineer interviews for the age of AI

AI is becoming more prevalent in coding interviews, sparking interest from experienced candidates tired of traditional methods. Hiring great engineers is crucial for maintaining reliable services, especially in the era of AI-generated code. System design interviews help identify candidates with hand.. read more  

Software engineer interviews for the age of AI
Snapper is a command-line tool developed by SUSE for managing filesystem snapshots. It allows users to create, delete, compare, and restore snapshots of their system or data. A snapshot is a read-only point-in-time copy of a filesystem, useful for recovering from system changes or errors. Snapper integrates deeply with the SUSE ecosystem and works primarily with Btrfs, though it also supports LVM with thin provisioning. It can automatically take snapshots before and after software updates or system modifications, helping users track what changed and roll back if necessary. By using pre and post snapshots, Snapper provides a simple way to undo changes or restore files without requiring full system backups. It also supports automatic cleanup routines to manage disk space efficiently. In practice, Snapper serves as both a safety net and a diagnostic tool, making it easier to maintain system stability and recover quickly from mistakes or failed updates.