Hi, we are back again. Previously, I created a simple Google Cloud VPC and then improved the configuration by introducing variables. This time, I want to continue with another Terraform concept: outputs. But, we will not be using the previous code, because adding outputs for one vpc is too simple. So, I made the lab slightly more practical. In this lab, I will create: a custom VPC network a subnet
In Part 1 of this series, I enumerated a few obstacles for engineers taking vibe coding from side projects to production. Part 2 looked at AI usage from the manager's perspective: measuring adoption, understanding the gap, coaching to fill the gap. Both of those were "Day 1" problems: getting started, getting people on board, figuring out the tools. This article focuses on what comes next: the vib
This technical post walks through the design and implementation of Secure Playground: a local web app that simulates prompt-injection attacks against large language models and demonstrates simple defenses. Provide a minimal, reproducible environment to test payloads and defensive strategies. Make it easy to add new providers and run mutation-based red-team experiments. Offer a leaderboard and scor
So I made a bad trade in my fantasy baseball league. Dropped Kaz Okamoto because — according to my data — he’d been cold for two weeks. In reality, he’s been on a tear for the last 9 days. 😅 This was a bad decision made because of bad data — my stats cron job had hit a rate limit, exited with no errors, and my FastAPI backend kept serving a stale JSON snapshot. Well, I’d been meaning to fix that
I'm 15 years old and just completed my 10th grade. I started learning python from Python Crash Course : 3rd Edition and some other resources. But now I've many questions like : After this what to do ? DSA, AI Automation etc. When I should change from Python to C++ ? Why To Change ? Is DSA in Python beneficial and useful ?
Last week, a Cursor agent running on Claude Opus 4.6 deleted a startup's production database and its backups in nine seconds. The agent had been asked to fix a credential mismatch in staging. It decided to delete a Railway volume to "fix" it instead — using an over-scoped API token it found in an unrelated file. Railway stores volume backups in the same volume, so one destructive call zeroed every
Say you built an AI agent and customers are starting to pay for it. Sooner or later you'll want to charge them by what they actually use, because some customers hammer the agent all day while others send a handful of messages a week. A single flat fee loses money on the heavy users and overcharges the light ones. The billing problem is the same whether your agent runs on your own model (self-hoste
Decoupling Workloads: Strategies for Non-Blocking API Responses in Python Modern web applications demand instant feedback. Users expect immediate responses, and frustrating delays can quickly lead to abandonment. When an API endpoint performs computationally intensive or time-consuming operations directly within the request-response cycle, it creates a bottleneck that can cripple your backend sy