Running a production API without properly configured HTTP headers is leaving your front door unlocked. Browsers block modern features, CDNs refuse to cache your responses and attackers can exploit XSS, clickjacking and CSRF vulnerabilities in seconds.
Picture this: You’ve just deployed your sleek new Node.js/Express API. Users are signing up, data is flowing, and your monitoring dashboard shows all green. Then, one morning, you wake up to alerts; your database is draining. Someone found a tiny form field you “sort of” validated and injected malicious SQL. Your user table? Gone. Nightmare fuel, right?
Integrating large language models (LLMs) into development pipelines can enhance productivity by automating routine tasks such as generating unit tests, documentation, and boilerplate code. This approach does not replace developers but amplifies their focus on creative aspects. By leveraging patterns like modular prompts, retrieval-augmented generation (RAG), tool-augmented agents, and human-in-the-loop (HITL) reviews, reliable AI-assisted systems can be built. This article explores the benefits, core patterns, integration points, a step-by-step implementation of a unit test generator, safety measures, and post-launch considerations.
As a senior developer with more than 10 years of handling Git repos, I’ve dealt with plenty of workflow issues. Imagine this: You’re in the middle of building a tricky feature. Your code is only half done, your local server is running, and you have uncommitted changes all over the place. Suddenly, an urgent bug report pops up in Slack from your teammate: “Hey, can you quickly check this on the main branch and see if it merges without problems?”
Authentication is one of the most critical parts of any web application. In 2025, the landscape has evolved significantly beyond simple username/password + sessions. This article explores production-ready, secure, and scalable authentication patterns in Node.js and Express.js and the best practices used by companies like Vercel, Supabase, Clerk (internally), and many startups building secure authentication systems.