Tired of LLMs breaking your JSON or skipping fields? Learn how Pydantic can turn messy AI outputs into clean, predictable data every single time. Large language models are powerful, but Continue reading How to Keep LLM Outputs Predictable Using Pydantic Validation
Alright, this is my homelab progress tracker. I just wanted to explore homelabbing to get to know more about servers, networking and to replicate many other useful tools used in Continue reading THE HOMELAB EXPERIENCE 1 : NAS AND DOCKER
Imagine a world where your AI assistants don’t just work FOR you, but work WITH each other! Google’s Agent-to-Agent (A2A) protocol promises to turn solo AI performers into collaborative team Continue reading A2A Protocol Simply Explained: Here are 3 key differences to MCP!
1. Introduction In object-oriented programming (OOP), classes serve as the fundamental building blocks for creating objects. A class acts as a blueprint that defines the properties (data) and behaviors(methods) that Continue reading Understanding Classes and Objects in Dart
This fifth article concludes the series of Docker best practices that deserve more love. We will look closely at the default user in the image and pave the way for Continue reading The default user in the Docker image
Everything Wrong With Thunderbolts* (The New Avengers) In 20 Minutes Or Less Cinemasins just unleashed their latest “Everything Wrong With” roast, blasting Thunderbolts for its plot holes, shaky continuity and Continue reading CinemaSins: Everything Wrong With Thunderbolts* (The New Avengers) In 20 Minutes Or Less
The SAGA pattern is the recommended approach to achieving data consistency across microservices. There are many articles in dev.to and on the internet describing how SAGA handles distributed DB transactions. Continue reading An alt-SAGA Pattern for Microservices
Stop Guessing! AI That Explains Its Algorithm Choices is Finally Here Tired of throwing algorithms at problems and praying for the best results? Do you ever wonder why one algorithm Continue reading Stop Guessing! AI That Explains Its Algorithm Choices is Finally Here
I built my own encryption tool in Python (+ some C) that uses modern AEAD algorithms like AES-256-GCM / ChaCha20-Poly1305 and an industry standard Argon2ID for the KDF. PyKryptor is Continue reading PyKryptor – open source AxCrypt alternative
Awesome! Representing Israel in UNHRC is a powerful and high-stakes position. Here’s a complete, winning strategy broken into essential sections so you’re ready to dominate your MUN: 🇮🇱 ISRAEL in Continue reading unhrc
Let’s skip the polite throat-clearing. Your “AI platform” is a vending machine that hands out root on layaway. Agents hoard long-lived API keys, plugins ship with mystery meat, and every Continue reading TLS For AI Agents? No. Wristbands For The Idiots In Line
-Check package.json, identify dependencies, scripts, and entry points -Review tsconfig.json: Learn about compiler settings, path aliases, and strictness levels. -Understand folder structure: like src/ components/ utils/ hooks/ -Read test cases Continue reading How to understand large typescript codebase
The Prompt Layer Most Beginners Miss Jaideep Parashar ・ Nov 9 #ai #promptengineering #discuss #learning
Everyone is obsessed with “prompt tricks.” They collect templates. They copy prompts from Twitter threads. They bookmark “ultimate prompt lists” hoping that one will magically unlock genius outputs. But after Continue reading The Prompt Layer Most Beginners Miss
https://spaceterran.com/posts/setting-up-a-secure-terraform-state-backend-in-aws/
