Infrastructure

One of the first surprises many developers encounter is that not all data belongs in a database. Modern applications often need to store images, videos, PDFs, user uploads, AI-generated content, backups, and other large files. Trying to manage these assets inside a traditional database can quickly create performance, cost, and scalability challenges. In this article, we explore object storage for vibe coders, including how it differs from databases, why it is a foundational part of modern architectures, metadata management, security considerations, AI workloads, and the engineering habits that help developers choose the right storage model for the job.

One of the most common architectural decisions facing modern developers is whether to build a traditional backend or use a Backend-as-a-Service platform. Modern AI-assisted development has made both approaches dramatically more accessible. Developers can now generate APIs, business logic, and infrastructure in minutes, while BaaS platforms provide managed authentication, databases, storage, and APIs with minimal setup. In this article, we explore the tradeoffs between traditional backends and Backend-as-a-Service platforms, including control versus speed, operational responsibility, business logic placement, complexity management, and the engineering habits that help vibe coders make better architectural decisions.

One of the biggest misconceptions in software development is thinking the work ends when the code runs locally. Modern AI-assisted development makes it incredibly easy to build and deploy applications quickly, but operational reliability introduces an entirely different layer of engineering complexity involving deployment, monitoring, automation, recovery, and infrastructure management. In this article, we explore DevOps fundamentals for vibe coders, including deployment strategy, observability, operational automation, infrastructure assumptions, recovery planning, and the engineering habits that help systems remain reliable in real-world environments.

DNS is the invisible layer that determines whether your app actually works. Vibe-coded prototypes often ignore it until something breaks, but domain structure, routing, and configuration decisions impact reliability, security, and scalability from the start. This article breaks down how DNS really works, why it causes problems in real systems, and the simple pre-prototype habits that prevent outages and confusion later.

Repetitive tasks slow down development and introduce mistakes. GitHub Actions allows you to automate testing, validation, and deployment directly from your repository. This article shows vibe coders how to create simple workflows that reduce manual effort, enforce consistency, and turn development into a reliable, repeatable process.

As your project grows, a list of tasks is not enough. You need a way to organize and track progress. GitHub Projects provides a simple visual workflow for managing Issues, prioritizing work, and keeping scope under control. This article shows vibe coders how to use project boards to bring clarity and structure to fast moving development.

Writing code is only part of building software. Managing work and changes is just as important. GitHub Issues and Pull Requests provide a simple way to track tasks, organize development, and safely introduce changes. This article shows vibe coders how to structure work, break features into manageable pieces, and use pull requests as a built-in review process.

Serverless lets you run code without managing servers. Platforms like AWS Lambda, Azure Functions, and Google Cloud Functions handle infrastructure while you focus on logic. This article shows vibe coders how to design event-driven functions, balance granularity, monitor performance, and avoid common pitfalls so prototypes can scale reliably.

Configuration files control how your application behaves in different environments. .env files, JSON, YAML, and TOML define secrets, service endpoints, and feature flags outside of code. This article shows vibe coders how to organize configuration, separate secrets from logic, and manage settings across environments so prototypes can scale safely and predictably.