This is the third post in my Google Cloud Next '26 (Las Vegas) recap series. You can find the previous posts here 👇 Part 1: [Google Cloud Next '26 Recap #1] Hands-On with the Agentic Hack Zone Part 2: [Google Cloud Next '26 Recap #2] Three Unique Booths I Tried at the EXPO In Parts 1 and 2, I covered my experiences on the EXPO floor. This time, I'd like to switch gears and share one of the se
Modern yazılım geliştirme ekosisteminde altyapının kod olarak yönetilmesi hız ve ölçeklenebilirlik açısından devrim yaratırken GitOps yaklaşımı bu süreci merkezi bir doğruluk kaynağına bağlamaktadır. Ancak tüm yapılandırma detaylarının tek bir platformda toplanması kritik siber güvenlik risklerini de beraberinde getirmektedir. Nesil Teknoloji olarak TSE A Sınıfı sızma testi yetkimizle endüstriyel
In my previous article about treating architecture documentation as a first-class asset, I had a great discussion in the comments about enforcing architectural rules. I promised to share materials from my recent Google Developer Groups workshop. The workshop is now finished! Here is the story of how I built an AI Quality Gate, how it helped me solve the internal "CEO, CTO, CFO, CISO" conflict, and
I needed to coordinate background scripts running across different machines. The obvious answer was Redis. Everyone uses Redis for this. The tutorials all use Redis. The Stack Overflow answers all say "just use Redis." So I looked at what deploying Redis would actually cost me: A running Redis server I had to maintain A broker to connect workers to it Celery or RQ on top of that Memory-based stora
In my previous article, I documented how I installed Terraform on macOS using Homebrew and fixed a Zsh autocomplete issue. In this article, I am going to be using terraform to provision, update, and destroy a simple set of infrastructure using the sample configuration provided by hashicorp The goal is to understand the basic Terraform workflow: Write configuration Authenticate to Google Cloud Ini
On April 30th I got an email from Google about something called GEAR, their new program for building AI agents using ADK, the Agent Development Kit. I signed up, watched the intro video, and had a strange feeling of recognition. The pattern was familiar. Define tools. Write descriptions. Connect an AI model to those tools. Let the model decide which tool to call based on what the user asks. I buil
VotePath -- an AI-powered multilingual voting guide for first-time voters. The Problem: Why Don't People Vote? What is VotePath? 🤖 Gemini-Powered AI Assistant: A conversational AI built with the Google Gemini API that answers specific election queries in real-time. 🛠️ The Tech Stack Building the UI components and wiring up the Gemini SDK went smoothly using an intent-driven development approach.
For years, the dream of a truly autonomous, always-on AI assistant has felt just out of reach — a concept relegated to-fi or limited by fragile, stateless nature of most chat interfaces. We’ve grown accustomed to assistants that forget us the moment we close the browser tab. But what if we could change the fundamental architecture? What if we could build an AI agent that doesn't just converse, but