After countless hours, lots of βοΈ, and 7,285 words of code and ideas, my URL Trimmer project is officially LIVE in the cloud! πβ‘οΈ β
Cloud-nativeβ
Docker-free (no more headaches!)β
Super simple, super efficientβ
Ready to scale π Huge thanks to everyone who shared their...
Just launched ComplianceContactExtractor β a brand new GenAI-powered tool for automated extraction of essential compliance information from company websites! π€π This project leverages the latest GPT-4.1 Nano API and is built entirely in Python. Say goodbye to...
From the very first prototype to the final MVP, every detail is designed for one thing:πDrop in a list of profile URLs β get back the verified count of associated members. No manual work, no friction, no wasted time! β©π€π Whatβs inside?π Persistent login sessions:...
Google Kubernetes Engine (GKE) is a powerful platform to run containerized applications in the cloud. But when you spin up a cluster in GKE, youβre faced with an important choice: GKE Standard or GKE Autopilot? If youβre unsure which one to choose, this article will...
1. Whatβs This All About? If youβre working in DevOps, cloud infrastructure, or automation, one of the first big ideas you’ll run into is Infrastructure as Code (IaC). In plain English, IaC means: βYou manage and provision your infrastructure using code β not by...
I just shipped my new backlog software β and this wasnβt just a weekend project: Over 195,000 words (194641 to be exact) of engineering, research, and problem-solving (including nearly 34,000 words (33882) with Gemini 2.5 Pro as my AI copilot) went into the full...
Whether you’re building a web app, experimenting with Flask or Django, or managing small projects locally β PostgreSQL is a rock-solid, open-source database system that fits perfectly. Hereβs your beginner-to-intermediate guide, tailored for local macOS setups....
π Milestone Unlocked: Autonomous, Vision-Driven Field Extraction & Pre-Fill Pipeline for Local-First Web Application Workflows π β¨ In just 12,744 words of hands-on engineering and 1,445 words of deep-dive brainstorming, I engineered an end-to-end, semi-automated...
What started as a „simple status checker“ became a production-grade, cloud-native monitoring and reporting platform β built and secured on Google Kubernetes Engine (GKE), and shaped by over 34,000 words and 247,000+ characters of real, genAI-assisted...
ππ‘ It started with a few humble URLsβ¦ and somehow became a fully automated CI/CD pipeline running on Google Cloud. 17,000+ words (130,000 characters) of iterative problem-solving. Countless terminal sessions. One idea β built and rebuilt until it was real. What...