AI Dev Lab

Mentoring Tomorrow's AI Developers

Tag: AI integration

  • Too Many School Messages? I Built a Local AI Triage for Librus in One Hour

    Too Many School Messages? I Built a Local AI Triage for Librus in One Hour

    A macOS agent that polls my kids’ school inbox every hour, classifies each message with a Polish decision model running on my own GPU, and only disturbs me when something actually needs a parent. The problem: notification fatigue, Polish-edition Librus Synergia is the dominant electronic gradebook in Polish schools — grades, attendance, homework, and an…

  • Understand Any AWS Environment with AI and the AWS CLI

    Understand Any AWS Environment with AI and the AWS CLI

    You inherited an AWS account and nobody can tell you how the pieces fit together. Here is a fast, read-only workflow that pairs the AWS CLI with an AI assistant to map compute, networking and routing —* and turn the raw JSON into clean architecture diagrams. 1. Why CLI + AI beats clicking around the console The…

  • Building a Gluten Label Scanner on Cloudflare Workers AI (Gemma 4)

    Building a Gluten Label Scanner on Cloudflare Workers AI (Gemma 4)

    I started this project because I wanted to test the newly introduced Gemma 4 model with Workers AI stack and compare it against my older production-style application built on Next.js + Vercel + Google API (Gemini 3): https://gd.marketscanai.com/en. I built a production-ready gluten label scanner using Cloudflare Workers + Workers AI, with the @cf/google/gemma-4-26b-a4b-it model…

  • The Era of AI Chat is Over. It’s Time to Issue Orders.

    The Era of AI Chat is Over. It’s Time to Issue Orders.

    The tech industry has a massive blind spot when it comes to Artificial Intelligence. If you read the standard advice online, everyone tells you that the secret to mastering Large Language Models (LLMs) is learning how to have a better “chat.” The prevailing wisdom treats the algorithm like a new hire on your team: brainstorm…

  • The Golden Hammer Syndrome: Why We Need Less AI and More Engineering

    The Golden Hammer Syndrome: Why We Need Less AI and More Engineering

    Stop burning GPU cycles to check if a number is even. A guide to regaining our technical sanity. It is an old adage in the toolbox of life: “When all you have is a hammer, everything looks like a nail.” In 2026, that hammer is the Large Language Model (LLM), and we are currently smashing…

  • Don’t Teach AI – First Teach People to Ask Questions and Verify Answers

    Don’t Teach AI – First Teach People to Ask Questions and Verify Answers

    The conversation around AI enablement often focuses on training models, fine-tuning prompts, improving usage metrics and optimizing workflows. But here’s an uncomfortable truth: if your organization struggles with innovation today, AI won’t magically fix that tomorrow. The real barrier to AI adoption isn’t technical—it’s cultural. And it starts with something surprisingly basic: the ability to…

  • Saving Time with AI: Your Personal Calendar Assistant

    Saving Time with AI: Your Personal Calendar Assistant

    The Problem: Calendar Management Chaos Life is unpredictable. If you’re a parent, you know the struggle: your child’s school schedule changes, extracurricular classes get added, gym routines shift. If you’re a student, professors send updated timetables mid-semester. Suddenly, you need to update not just your calendar, but also inform family members and sync everything across…

  • How I Secured My Application with One Correct Prompt: A VibeCoders Guide to Risk-Free Security Implementation

    How I Secured My Application with One Correct Prompt: A VibeCoders Guide to Risk-Free Security Implementation

    Securing web applications can feel overwhelming, especially when balancing functionality with robust protection. However, sometimes the right approach can transform your application’s security posture with a single, well-crafted request. This is exactly what happened when I decided to secure my login system – and the results exceeded all expectations. The Challenge: Building Enterprise-Grade Security As…

  • The Fast Track to Failure? How to Quickly Verify AI-Generated Applications – Checklist

    The Fast Track to Failure? How to Quickly Verify AI-Generated Applications – Checklist

    As a lead software engineer, I’ve recently encountered a troubling trend. Many developers, including some who teach AI coding workshops, are fascinated by the ability to create applications with a single prompt. Like most “vibe coders,” they’ve never built, deployed, or maintained production applications independently—especially in large, distributed ecosystems with international, ever-changing teams and requirements.…

  • From Buzzword to Business Value: Using AI Responsibly in Real Projects

    From Buzzword to Business Value: Using AI Responsibly in Real Projects

    How a bedtime story turned into a published book thanks to a thoughtful AI-driven workflow AI is no longer an emerging technology—it’s everywhere. The market is saturated with tools and platforms promising to do everything from writing your code to generating images, music, or complete applications. But here’s a hard truth that many teams (and…

  • AI Experiments in Supermarket Price Tag Recognition

    AI Experiments in Supermarket Price Tag Recognition

    Exploring Snowflake for Image Processing In January, I began experimenting with Snowflake Document AI to process supermarket price tag images. The goal was to extract structured product data from shelf photos, leveraging the scalable infrastructure and built-in machine learning capabilities of Snowflake. While the platform offered promising tools for document analysis, my early results showed…

  • Beyond the AI Team: Why Every Employee Should Be AI-Enabled

    Beyond the AI Team: Why Every Employee Should Be AI-Enabled

    Remember when companies first introduced computers? Imagine if organizations had decided to create a single “Computer Team” and required every department to submit requests for spreadsheet calculations, word processing, or data analysis. The inefficiency would have been staggering. Yet today, many organizations are making the exact same mistake with artificial intelligence. The traditional approach of…