Join us

ContentUpdates from DApp World...
Link
@faun shared a link, 4 months ago
FAUN.dev()

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... read more  

Privacy for subdomains: the solution
Link
@faun shared a link, 4 months ago
FAUN.dev()

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.. read more  

Link
@faun shared a link, 4 months ago
FAUN.dev()

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... read more  

Writing Load Balancer From Scratch In 250 Line of Code
Link
@faun shared a link, 4 months ago
FAUN.dev()

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... read more  

Link
@faun shared a link, 4 months ago
FAUN.dev()

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.. read more  

Link
@faun shared a link, 4 months ago
FAUN.dev()

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.. read more  

Link
@faun shared a link, 4 months ago
FAUN.dev()

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, .. read more  

The productivity paradox of AI coding assistants
Link
@faun shared a link, 4 months ago
FAUN.dev()

Becoming a Research Engineer at a Big LLM Lab - 18 Months of Strategic Career Development

To land a big career role like Mistral, mix efficient **tactical** moves (like LeetCode practice) with **strategic** ups, like building a powerful portfolio and a solid network. Balance is key; aim to impress and prepare well without overlooking the power of strategy in shaping a successful career... read more  

Link
@faun shared a link, 4 months ago
FAUN.dev()

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 .. read more  

Building a Natural Language Interface for Apache Pinot with LLM Agents
Link
@faun shared a link, 4 months ago
FAUN.dev()

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 .. read more  

Jupyter Agents: training LLMs to reason with notebooks
DApp World is a groundbreaking peer-to-peer network that revolutionizes the blockchain upskilling landscape. Our platform serves as a dynamic ecosystem where developers can showcase their skills through building comprehensive profiles backed by tangible proof of work - all of which are interoperable across every blockchain ecosystem.

At Dapp World, we are passionate about educating the next generation of Web3 developers, entrepreneurs, and enthusiasts. Our platform is dedicated to providing accessible and comprehensive education on the latest Web3 technologies and trends. Through our innovative curriculum and community-driven approach, we're empowering students and professionals around the world to become active participants in the decentralized ecosystem.

1. Blockchain Courses [Link]

Video only courses are primitive ― Upskill yourself with a new way of learning blockchain technology with DApp World's interactive courses packed with lessons, guides and hands-on-exercises

2. Practice Solidity Problems[Link]

Developer's Arena ― Competitive Programming ― for blockchain. Solve problem statements curated for blockchain, compete with others and sharpen your skills.