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Practical, beginner-friendly guides to programming, APIs, Git, web development and the tools developers use every day.
Adopting TypeScript is step one. Using it well is where the benefits appear. Here are ten habits from the official docs, typescript-eslint and practitioner checklists: strict mode, avoiding any, discriminated unions, runtime validation and CI enforcement.
Open almost any modern web developer job listing and you will see TypeScript. Is it time to leave plain JavaScript behind? Here are the benefits, the costs, when JavaScript is still fine, why strict mode matters and how to migrate gradually.
Node.js has been a mainstream backend choice for over a decade, but no technology fits every job. Here is how the event loop works, where Node shines, where it struggles with CPU-heavy work, best and poorer use cases and tips for a healthy project.
You described your idea, the AI built an app, and it works on your laptop. But "it runs" and "it is ready for customers" are very different things. Here are seven risks, when vibe coding is fine and a pre-launch checklist.
Instead of writing code line by line, you describe what you want, the AI writes it, you run it and keep talking until it works. Here is where the term comes from, how it works, where it shines, where it struggles and how it differs from AI-assisted development.
APIs are how apps talk to each other: weather, payments, "Sign in with Google". This guide explains requests, JSON, status codes, keys and webhooks with examples you can run yourself.
Docker bundles your app and everything it needs into a container that behaves the same everywhere. Here are containers vs VMs, core concepts, a real Node.js Dockerfile, Docker Compose with a database, key commands and best practices.
Too many tutorials and too many opinions? Here is a phase-by-phase roadmap from how the web works to HTML, CSS, JavaScript, Git, React, Node.js, databases and deployment, with projects and a 12-month plan for 15 to 25 hours a week.
REST and GraphQL are not old versus new. They fit different data, teams and clients. Here is how each works, what GraphQL really fixes, the performance and security traps, and a checklist to pick.
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