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@varbear shared a link, 2 weeks, 1 day ago
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YOLO Mode: Hidden Risks in Claude Code Permissions

A scrape of 18,470 Claude Code configs on GitHub shows a pattern: developers are handing their AI agents the keys to the castle. Unrestricted file, shell, and network accessis common. Among them: - 21.3% let Claude runcurl - 14.5% allowarbitrary Python execution - 19.7% give itgit pushprivileges Tha.. read more  

YOLO Mode: Hidden Risks in Claude Code Permissions
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@varbear shared a link, 2 weeks, 1 day ago
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ASCII characters are not pixels: a deep dive into ASCII rendering

A fresh take on programmatic ASCII rendering brings inhigh-dimensional shape vectors,supersampling, andcontrast tricksto keep edges crisp and animations clean. Under the hood:k-d tree nearest-neighbor lookups,vector quantization, andGPU-powered samplinghelp push sharp ASCII frames without tanking pe.. read more  

ASCII characters are not pixels: a deep dive into ASCII rendering
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@varbear shared a link, 2 weeks, 1 day 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  

If you're a Zoomer, this one's for you: Everything Gen Z needs to know about the 2025 tech landscape
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@kaptain shared a link, 2 weeks, 1 day 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  

Building Production-Grade Micro services on Azure Kubernetes
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@kaptain shared a link, 2 weeks, 1 day ago
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Scaling PostgreSQL to power 800 million ChatGPT users

OpenAI pushedPostgreSQLto handle millions of QPS across 800M users. How? Nearly 50 read replicas, heavy read offloading, and serious trimming on write pressure. Writes? Sent elsewhere. Sharded systems likeCosmosDB, lazy writes, and app-level tweaks helped sidestep PostgreSQL’sMVCCwrite amplification.. read more  

Scaling PostgreSQL to power 800 million ChatGPT users
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@kaptain shared a link, 2 weeks, 1 day 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  

Dockhand - The Ultimate Self-Hosted Docker Management Tool
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@kaptain shared a link, 2 weeks, 1 day 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, 2 weeks, 1 day 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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@kala shared a link, 2 weeks, 1 day 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, 2 weeks, 1 day 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  

The Rise of GPUOps: Where Infrastructure Meets Thermodynamics
GPT-5.3-Codex is OpenAI’s advanced agentic coding model, designed to go beyond writing code and operate as a general-purpose collaborator on a computer. It builds on GPT-5.2-Codex by combining stronger coding performance with improved reasoning and professional knowledge, while running about 25% faster. The model is optimized for long-running tasks that involve research, tool use, and complex execution, and it performs at the top of industry benchmarks such as SWE-Bench Pro and Terminal-Bench.

Unlike earlier Codex models that focused primarily on code generation and review, GPT-5.3-Codex can reason, plan, and act across the full software lifecycle. It supports activities such as debugging, deploying, monitoring, writing product requirement documents, creating tests, and analyzing metrics. It can also autonomously build and iterate on complex applications and better interpret underspecified prompts, producing more complete and production-ready results by default.

A defining feature of GPT-5.3-Codex is its interactive, agentic workflow. Users can steer the model while it is working, receive progress updates, and adjust direction without losing context, making it feel more like a teammate than a batch automation tool. The model was even used internally to help debug its own training and deployment processes. GPT-5.3-Codex is available through paid ChatGPT plans in the Codex app, CLI, IDE extension, and web, with API access planned for the future.