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@faun shared a link, 1 month, 1 week ago

Authentication Explained: When to Use Basic, Bearer, OAuth2, JWT & SSO

Modern apps don’t just check passwords—they rely on **API tokens**, **OAuth**, and **Single Sign-On (SSO)** to know who’s knocking before they open the door...

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@faun shared a link, 1 month, 1 week ago

Users Only Care About 20% of Your Application

Modern apps burst with features most people never touch. Users stick to their favorite 20%. The rest? Frustration, bloat, ignored edge cases. Tools like **VS Code**, **Slack**, and **Notion** nail it by staying lean at the core and letting users stack what they need. Extensions, plug-ins, integrati..

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@faun shared a link, 1 month, 1 week ago

Privacy for subdomains: the solution

A two-container setup using **acme.sh** gets Let's Encrypt certs running on a Synology NAS—thanks, Docker. No built-in Certbot support? No problem. Cloudflare DNS API token handles auth. Scheduled tasks handle renewal...

Privacy for subdomains: the solution
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@faun shared a link, 1 month, 1 week ago

Organize your Slack channels by “How Often”, not “What” - Aggressively Paraphrasing Me

One dev rewired their Slack setup by **engagement frequency**—not subject. Channels got sorted into tiers like “Read Now” and “Read Hourly,” cutting through noise and saving brainpower. It riffs off the **Eisenhower Matrix**, letting priorities shift with projects, not burn people out...

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@faun shared a link, 1 month, 1 week ago

Building a Natural Language Interface for Apache Pinot with LLM Agents

MiQ plugged **Google’s Agent Development Kit** into their stack to spin up **LLM agents** that turn plain English into clean, validated SQL. These agents speak directly to **Apache Pinot**, firing off real-time queries without the usual parsing pain. Behind the scenes, it’s a slick handoff: NL2SQL ..

Building a Natural Language Interface for Apache Pinot with LLM Agents
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@faun shared a link, 1 month, 1 week ago

Jupyter Agents: training LLMs to reason with notebooks

Hugging Face dropped an open pipeline and dataset for training small models—think **Qwen3-4B**—into sharp **Jupyter-native data science agents**. They pulled curated Kaggle notebooks, whipped up synthetic QA pairs, added lightweight **scaffolding**, and went full fine-tune. Net result? A **36% jump ..

Jupyter Agents: training LLMs to reason with notebooks
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@faun shared a link, 1 month, 1 week ago

Implementing Vector Search from Scratch: A Step-by-Step Tutorial

Search is a fundamental problem in computing, and vector search aims to match meanings rather than exact words. By converting queries and documents into numerical vectors and calculating similarity, vector search retrieves contextually relevant results. In this tutorial, a vector search system is bu..

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@faun shared a link, 1 month, 1 week ago

5 Free AI Courses from Hugging Face

Hugging Face just rolled out a sharp set of free AI courses. Real topics, real tools—think **AI agents, LLMs, diffusion models, deep RL**, and more. It’s hands-on from the jump, packed with frameworks like LangGraph, Diffusers, and Stable Baselines3. You don’t just read about models—you build ‘em i..

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@faun shared a link, 1 month, 1 week ago

Inside NVIDIA GPUs: Anatomy of high performance matmul kernels

NVIDIA Hopper packs serious architectural tricks. At the core: **Tensor Memory Accelerator (TMA)**, **tensor cores**, and **swizzling**—the trio behind async, cache-friendly matmul kernels that flirt with peak throughput. But folks aren't stopping at cuBLAS. They're stacking new tactics: **warp-gro..

Inside NVIDIA GPUs: Anatomy of high performance matmul kernels
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@faun shared a link, 1 month, 1 week ago

The productivity paradox of AI coding assistants

A July 2025 METR trial dropped a twist: seasoned devs using Cursor with Claude 3.5/3.7 moved **19% slower** - while thinking they were **20% faster**. Chalk it up to AI-induced confidence inflation. Faros AI tracked over **10,000 developers**. More AI didn’t mean more done. It meant more juggling, ..

The productivity paradox of AI coding assistants
IncusOS, released is a lightweight Linux distribution built on Debian 13 with a focus on security, reliability, and reproducibility. It implements atomic A/B updates for safe rollbacks, UEFI Secure Boot, TPM 2.0 integration, and full-disk encryption to ensure a trusted boot process and data protection.

The system departs from traditional management models by eliminating shell access entirely. Administration occurs exclusively through authenticated APIs using TLS client certificates or OIDC. This design enforces consistency and limits attack surfaces across server fleets and virtualized environments.

IncusOS supports an online image customizer and a fully automated installation process, applying configuration at first boot. Hardware requirements align with modern systems such as Windows 11. Future updates will deliver new kernel versions, expanded configuration options, and integrations with tools like Linstor and Netbird.

By standardizing deployment and management through uniform images, IncusOS simplifies auditing, maintenance, and support for organizations operating large or distributed infrastructures.