What Vibe Coders Think Mount Volume Is

Every developer has uttered those fateful words: "It works on my machine!" – the universal excuse when code mysteriously fails elsewhere. Then some genius had the audacity to suggest, "What if we just shipped the entire machine?" and Docker containers were born. Instead of spending hours debugging environment differences, we now spend hours debugging Docker configuration files. Progress! The circle of developer suffering continues, just with fancier terminology and cooler logos.

Job description: "Must be expert in Kubernetes, Terraform, AWS, Ansible, Argo, Python, Helm, Docker, Grafana, Vault, and whatever else we discover next week." Actual job: "Here's a Jenkins instance from 2013. Don't break it." The classic bait-and-switch of modern DevOps. They lure you in with promises of cutting-edge infrastructure, then hand you the digital equivalent of a museum artifact held together with duct tape and prayers. Six months in, you're still trying to figure out why production depends on a Perl script written by someone who left during the Obama administration.

When you spend 6 hours debugging why your container won't start, only to realize you forgot a single hyphen in your docker-compose.yml file. Then you spend another 3 hours dealing with volume permissions. Then your image size balloons to 4GB because you accidentally included node_modules. Then Docker Desktop eats 8GB of RAM just sitting there. Then you get the dreaded "no space left on device" error and have to prune everything like you're Marie Kondo-ing your entire digital life. But hey, at least "it works on my machine" is no longer an excuse, right? RIGHT?! The relationship between developers and Docker is truly a love story for the ages – except it's all hate and we're all trapped in this containerized nightmare together. 🙃

Ah, the classic "Scooby-Doo villain reveal" but with a software architecture twist. The company proudly announces their fancy microservice architecture, but when the developer pulls off the mask, surprise! It's just a distributed monolith underneath. For the uninitiated: a distributed monolith is when you split your application into separate services that look like microservices, but they're so tightly coupled they can't be deployed independently. So you get all the complexity of microservices with none of the benefits. It's like buying a sports car but filling the trunk with concrete.

The silent panic that washes over your face when someone innocently asks about your development costs while your significant other is within earshot. That moment when you've spent $300 on Docker containers, $200 on cloud services, another $150 on dev tools, and somehow convinced your partner it was "just a small hobby expense." The death glare says it all – you're about to experience what developers call a "relationship runtime error."

Nothing says "I'm processing my emotions in a healthy way" like stacking five Dell servers in your bedroom and spending 72 sleepless hours configuring container orchestration. The sweet hum of overheating hardware drowns out those pesky feelings, and the electricity bill that rivals a small nation's GDP is totally worth it. Who needs a therapist asking about your childhood when you can debug YAML files at 3 AM? It's not hoarding if it's infrastructure .