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@faun shared a link, 3 weeks 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, 3 weeks ago

Uncommon Uses of Common Python Standard Library Functions

A fresh guide gives old Python friends a second look—turns out, tools like **itertools.groupby**, **zip**, **bisect**, and **heapq** aren’t just standard; they’re slick solutions to real problems. Think run-length encoding, matrix transposes, or fast, sorted inserts without bringing in another depen..

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@faun shared a link, 3 weeks ago

Building a Resilient Data Platform with Write-Ahead Log at Netflix

Netflix faced challenges like data loss, system entropy, updates across partitions, and reliable retries. To address these, they built a generic Write-Ahead Log (WAL) system serving a variety of use cases like delayed queues, generic cross-region replication, and multi-partition mutations. WAL abstr..

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@faun shared a link, 3 weeks ago

Writing Load Balancer From Scratch In 250 Line of Code

A developer rolled out a fully working **Go load balancer** with a clean **Round Robin** setup—and hooks for dropping in smarter strategies like **Least Connection** or **IP Hash**. Backend servers live in a custom server pool. Swapping balancing logic? Just plug into the interface...

Writing Load Balancer From Scratch In 250 Line of Code
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@faun shared a link, 3 weeks 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
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@faun shared a link, 3 weeks 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, 3 weeks 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, 3 weeks 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, 3 weeks 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, 3 weeks 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
The use of artificial intelligence (AI) in e-commerce has resulted in significant enhancements to various aspects of the customer experience, including personalization, operations, and sales.

Natural language generation (NLG) tools, powered by machine learning algorithms, have emerged as one of the key ways in which AI has facilitated these improvements. These tools can autonomously create human-like written content, such as product descriptions and website copy, thereby reducing the workload of content creators. By integrating AI with Magento 2, online retailers can reap a multitude of benefits.

MageComp’s Magento 2 ChatGPT AI PRO extension automatically generates content for your Magento 2 store. The AI-powered Magento 2 extension seamlessly streamlines your website content operations. The ChatGPT AI for Magento 2 module automatically generates multiple types of website content like product description, metadata, image ALT text and other CMS page descriptions.

The admin is allowed to choose the length of the metadata and image ALT text content and the Magento 2 plugin will generate the content according to that. The plugin also lets the admin set custom prompts for AI-powered description generation. With the Magento 2 ChatGPT AI PRO module, Magento admins can save tons of valuable time and invest that time in other strategic activities.

Why Choose MageComp’s Magento 2 ChatGPT AI Pro extension?

Connects your Magento 2 store with Open API key.
Increases your Magento 2 store’s productivity.
Generates AI-powered content with the help of the page builder.
You can easily generate SEO-rich website content in bulk.
The module allows you to choose the content limit you want to generate.
You can add content prompts for exact AI-powered results.
Generates metadata like page titles, meta keywords and meta descriptions.
Speed up your content development process.
Improves your search engine rankings with SEO-rich keywords.
Boosts your business by creating SEO-rich content for it.

For More Magento 2 Extension Visit Magecomp.Com