ContentPosts from @arifcse21..
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@kala shared a link, 8 hours ago
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Reading across books with Claude Code

A custom LLM agent, built withClaude Codeand some hard-working CLI tools, chewed through 100+ nonfiction books by slicing them into 500-word semantic chunks - and then threading excerpt trails by topic. Under the hood: Chunk-topic indexes lived inSQLite. Topic embeddings flowed throughUMAPfor clust.. read more  

Reading across books with Claude Code
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@kala shared a link, 8 hours ago
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Recursive Language Models: the paradigm of 2026

Prime Intellect dropped a fresh take on long-range LLM workflows with itsRecursive Language Model (RLM)scaffold. It pulls off two smart moves: folds context to free up tokens and spins off sub-LLMs to handle chunkier tasks. Think persistent Python REPL meets lightweight agent swarm... read more  

Recursive Language Models: the paradigm of 2026
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@kala shared a link, 8 hours 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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@kala shared a link, 8 hours ago
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FinePDFs: Liberating 3T of the finest tokens from PDFs - a Hugging Face Space by HuggingFaceFW

Hugging Face introduces FinePDFs, a large open dataset built by extracting and cleaning text from millions of PDF documents, reaching trillions of tokens across many languages. The post explains how the pipeline handles messy PDF structure, layout noise, duplication, and low-quality content to produ.. read more  

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@kala shared a link, 8 hours ago
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The Complete Guide to CLAUDE.md

Claude Code just got smarter withCLAUDE.md- a project-level file that loads every time a session starts. Drop in your team's coding quirks, custom commands, naming rules, or traps to avoid. Claude reads it, remembers it, and quietly tailors responses to fit. Think of it likeAGENTS.md, seen in Cursor.. read more  

The Complete Guide to CLAUDE.md
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@devopslinks shared a link, 8 hours ago
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What I Really Mean When I Say “Good Communication” in Incident Response

In the world of incidents,communication is key. Tailor messages for different audiences: be clear for business stakeholders, factual for IT management, and detailed for fellow responders. Don't let vagueness derail incident response - keep stakeholders informed with precise updates and clear expecta.. read more  

What I Really Mean When I Say “Good Communication” in Incident Response
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@devopslinks shared a link, 8 hours ago
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Making a micro Linux distro

A dev dives into building a barebones Linux distro for RISC-V using QEMU. Starts at the metal: compiles the kernel, wires up a no-frills init process, packs it all into an initramfs. Then levels up, drops inu-rootto swap out raw shell scripts for Go-powered userland tools. Adds network. Now it’s a f.. read more  

Making a micro Linux distro
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@devopslinks shared a link, 8 hours 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
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@devopslinks shared a link, 8 hours ago
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Year in Review: Lessons From 12 Projects Patreon Shipped in 2025

Patreon engineers made massive bets in 2025, shipping code across all areas of the system and enabling impactful features like Autopilot's growth tools suite. Expanding Autopilot's scope, reach, and effectiveness was a challenge, especially guaranteeing recipient redemption after email delivery in a.. read more  

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@devopslinks shared a link, 8 hours ago
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Monitoring & Observability: Using Logs, Metrics, Traces, and Alerts to Understand System Failures

Railway just leveled up its observability game. Now logs, metrics, and alerts all live in one tidy dashboard - clean and connected. Structured logs flow straight from stdout/stderr. Metrics pulse in real time. Alerts plug into monitors or deployment webhooks so teams catch firesbeforethey rage... read more  

Monitoring & Observability: Using Logs, Metrics, Traces, and Alerts to Understand System Failures