Automation isn’t new to DevOps. We’ve been scripting, gluing APIs, and building internal tools for years. What is changing is how fast teams need to react; to incidents, security risks, Continue reading Why n8n Is Quietly Becoming a Power Tool for DevOps & SRE Teams❓
# Mastering API Testing with Mocha and Chai: A Comprehensive Guide for Backends In the realm of backend development, the reliability and robustness of APIs are fundamental pillars. Ensuring your Continue reading Integration tests in Node.js with Mocha/Chai
Foundational Primitive Requirements for AI Trust Layer Infrastructure DID — Persistent Identity CID — Immutable Memory Canonical Meaning Root (CFE) These three primitives constitute the complete foundational core.
Databases are one of those things that every dev touches but very few are comfortable explaining — especially when you inherit a project or join a new team. Between outdated Continue reading Turning Database Schemas into Diagrams & Docs — Open for Early Feedback
Hi, everyone. This is yumyum116. This article is part of a series of how standard library functions work. I am glad that this will help beginners understand the underlying mechanisms Continue reading Why print() Can Cause a TLE Even with an Efficient Algorithm
Chaterm, a representative of GenAI’s outstanding and innovative projects, was open-sourced to developers worldwide at the AWS Summit Keynote. Chaterm is an AI-powered smart terminal tool that combines AI functionality Continue reading Chaterm Announced at the AWS Summit Keynote
Chunking, Retrieval, and Reranking (A Practical End‑to‑End Guide) Retrieval‑Augmented Generation (RAG) is often discussed as a modeling problem. In practice, most RAG failures have little to do with the language Continue reading Building Reliable RAG Systems
The Web Audio API is more powerful than most developers realize — it’s capable of running full synth engines in the browser. This article shows how to build a basic Continue reading Building a Polyphonic Synth with Web Audio API (No Libraries Needed)
I trained a simple “is cat” image classifier using fastai and wanted to deploy a small demo on Hugging Face Spaces. I already had a working app.py and a trained Continue reading Why My Model Wouldn’t Deploy to Hugging Face Spaces (and What Git LFS Actually Does)
A# (A-Sharp) So it’s a supposed hobby project developed by me. A# is an open-source modern math-first .NET programming language, aimed to make heavy math on the framework much easier. Continue reading New programming language by me
I’m experimenting with a written multitasking heuristic for me, to see if I can restructure myself to take better advantage of multiple Claudes. I’ve had big highs and lows with Continue reading Multitasking Me and Claude
The “Generative” Trap If you have been following AI recently, you know the drill: Input → Generate. You give ChatGPT, Gemini, or Claude a prompt, it generates words. You give Continue reading The Brain of the Future Agent: Why VL-JEPA Matters for Real-World AI
In my previous post, I talked about how I built a 3-node Kubernetes cluster for ₹6,000 ($70) to host my AI models and home lab. It worked great, but there Continue reading I Exposed My $70 Kubernetes Cluster to the Internet (Without Opening a Single Port)
Introduction In Part 1, we successfully finished building the EKS Control Plane, we set up the VPC, Subnets, NAT Gateway, the Kubernetes API Server, and configured kubectl connectivity. VPC, Subnets, Continue reading Amazon EKS From The Ground Up – Part 2: Worker Nodes with AWS Managed Nodes
Keeping documentation up to date is one thing! helping your team or partners quickly digest changes is another. At my company, we use Retype for our docs, and we wanted Continue reading Making Retype Docs AI-Ready with llms.txt Automation
