AI & Machine Learning

How I Structured a Production-Ready Node.js Backend for SaaS

Ali Nemati16 hours ago23 sec read2 views

The article describes a production-ready Node.js backend architecture tailored for SaaS applications, featuring a clean tech stack and modular folder structure that separates business logic from infrastructure. Key components include TypeScript, Express, PostgreSQL, Stripe billing, and OpenAPI documentation, aiming to streamline development by providing a robust starting point for new projects.

Read the full article at DEV Community

Want to create content about this topic? Use Nemati AI tools to generate articles, social posts, and more.

Comments

How to Add Browser Capabilities to a LangChain Agent

The code integrates tools for inspecting and interacting with web pages using a third-party API (PageBolt). It includes functions to generate PDFs of web pages, inspect interactive elements and CSS selectors from a page, and take screenshots. These f...

Ali Nemati

AI & Machine Learning7 hours ago28 sec read

agents.txt - a proposed web standard for AI agents

A proposed web standard called "agents.txt" aims to provide guidelines for AI agents on actions they can perform and under what conditions, addressing limitations of the existing robots.txt which only controls web crawling. This new standard is cruci...

Ali Nemati

AI & Machine Learning13 hours ago24 sec read

A 13MB Cursor Monitor: AppKit, Undocumented APIs, Zero Dependencies

The author built CursorMeter, a macOS app to monitor usage of the tool Cursor, aiming for minimal memory footprint. By using AppKit instead of SwiftUI, they reduced memory usage from 56MB to 13MB while handling undocumented APIs gracefully. This proj...

Ali Nemati

AI & Machine Learning13 hours ago25 sec read

Djangonaut Diaries: Week 1, part 2 - Creating and debugging a Django project

This article describes debugging Django's admin delete confirmation page using VS Code and Python's debugger. It details setting up breakpoints in Django code, starting a debug session, and inspecting variables like deleted_objects to understand thei...

Ali Nemati

AI & Machine Learning15 hours ago27 sec read

Stop Manually Managing URLSearchParams in Next.js - Use nuqs Instead

nuqs is a library that simplifies URL state management in Next.js applications by treating query parameters as React state. It offers type-safe parsing, zero dependencies, and integrates well with modern React architectures. Benefits include reduced ...

Ali Nemati

How I Structured a Production-Ready Node.js Backend for SaaS

Related Articles

How to Add Browser Capabilities to a LangChain Agent

agents.txt - a proposed web standard for AI agents

A 13MB Cursor Monitor: AppKit, Undocumented APIs, Zero Dependencies

Djangonaut Diaries: Week 1, part 2 - Creating and debugging a Django project

Stop Manually Managing URLSearchParams in Next.js - Use nuqs Instead