Articles

Containerize your Node.js application with Docker and deploy it using GitHub Actions. This tutorial covers a multi-stage Dockerfile, Docker Compose for local development, and a GitHub Actions workflow.

Brilliant app ideas often fail before they even reach the app store due to common mistakes made by first-time app founders. In this article, we'll explore the biggest mistakes and how to avoid them.

Behind the scenes, large-scale platforms process enormous numbers of transactions, requiring accurate, secure, and quick processing. This article explores how these platforms manage massive transaction volumes and the engineering challenges involved.

Most DevOps engineers fail due to lack of knowledge about what not to do, rather than what to do. This article provides a direct breakdown of the ten most costly DevOps mistakes engineers make early in their careers at startups.

Even with TypeScript, tool calls can still break in production due to various reasons. Learn the common mistakes and how to design validation that survives LLMs, bad clients, and other issues.

Working with JSON data can be challenging, especially when developers make common mistakes. In this article, we'll explore five JSON mistakes and provide solutions to fix them fast.

When it comes to deploying AI agents in production, choosing the right testing framework is crucial. In this article, we'll compare four popular frameworks: Maxim AI, DeepEval, LangSmith, and QA Wolf.

When dealing with messy CSS code, a good CSS formatter can save hours. The author compares top free options, ranking them on dev-friendliness and highlighting Zletai's CSS Formatter as a standout tool.

A common pain point in large JavaScript projects is logging every API call. This article shares a solution by building an npm package to automate this process.

Exhaustion and ineffectiveness can result from pushing hard all the time. It may be time to reassess our approach and prioritize rest.

Handling changing workloads efficiently is crucial when working with Kubernetes. The Horizontal Pod Autoscaler (HPA) is a key component that helps scale applications automatically.

Handling millions of read queries requires a well-designed database architecture. Learn how to scale your database for high read traffic with this no-BS guide.