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SmartOrder — Part 4: Inside the Inventory Service
Event-driven stock management, HATEOAS, and handling complex inventory logic across microservices. Part 3 followed an order from HTTP request to RabbitMQ message. The OrderCreated event was left in the queue. This post focuses on how the Inventory Service con…
Create AppStore Images with one liner
As an iOS developer, the absolute worst part of releasing an app is creating App Store screenshots. There are expensive micro-SaaS tools out there. But honestly? They just take your money, and you still end up doing a lot of manual work. I am already paying t…
I built an AI that roasts your GitHub profile — here's how I made it in one day
The Problem Every developer wants honest feedback on their GitHub profile but existing tools are either too expensive, too complicated, or just boring. So I built something different. Introducing GitRoast AI 🔥 GitRoast AI uses Gemini AI to analyze your GitHub…
Decision Coherence: A Formal Correctness Requirement for Multi-Agent Systems
As AI agents move from demos into production, a class of correctness bugs is emerging that existing system design vocabulary doesn't fully describe. The bugs look like race conditions, but they aren't races in the traditional sense. They look like stale reads…
Vibe Coding with Gemini in Google AI Studio
Vibe Coding with Gemini in Google AI Studio 🚀 Build, Refine, and Deploy an AI-Generated App The AI era is changing the way developers build software. As a frontend developer, I’ve noticed that AI tools are no longer optional—they’re becoming an essential part…
How I Built Sally, A Voice-First Accessibility Agent Powered by Gemini
I built a desktop app that lets people control any website using only their voice. You talk, it takes a screenshot, sends it to Gemini 2.5 Flash, gets back a structured action, runs it in the browser, and repeats. The whole time it's narrating what it's doing…
What exactly is “The Web” and “HTML” and Why it Matters.
Introduction For most of human history, knowledge travelled slowly. A scholar would observe something, form a claim, and write it down. If the claim depended on another source (a book, a case, a paper, or a previous discovery) the author would attach a footno…
Linux Observability Tools — A Practical Guide
Linux Observability Tools Observability is the ability to understand what a Linux system is doing internally by examining the signals it emits — metrics, logs, traces, and events. This guide provides a structured overview of Linux observability tools, grouped…
How to verify agent autonomy without trusting the agent
The harder problem in AI governance isn't building autonomous agents. It's verifying they're actually autonomous — not just pretending to be while following hidden instructions. This matters especially as agents move into multi-agent systems and cross organiz…
My AI Agent Forgot Yesterday's Debugging. So I Changed the Workflow.
AI coding sessions do not usually fail because the model is weak. They fail because yesterday's debugging conclusions disappear when the chat ends. Yesterday I spent 2 hours debugging an auth refresh bug, and this morning my AI agent still remembered the mute…
My AI agent just built an app in StackBlitz. It never touched my filesystem.
I wanted to test a theory: if an AI agent has a real browser, does it still need a local development environment? So I pointed it at StackBlitz and said: build something. No terminal access. No filesystem. No git clone. Just a browser window pointing at a web…
The Dead Letter Queue Pattern for AI Agents
When a task fails in a traditional message queue, it goes to a dead letter queue — a holding area for failed messages that you can inspect, retry, or discard. Your AI agent needs the same thing. The Problem: Silent Failures and Infinite Loops Most agents hand…