Learning how to use ChatGPT to write code isn’t about letting AI take over your job; it’s about making your workflow smarter, faster, and less repetitive. At AMELA Technology, we’ve used ChatGPT to build real production systems — from small Python scripts to full API modules — and what we’ve learned is simple: the results depend on how you ask. When you structure your prompts right and guide ChatGPT like a junior developer, it delivers surprisingly clean, testable, and even optimized code. In this blog, you’ll find battle-tested example prompts and practical tips to get high-quality code without endless tweaking. Why Use ChatGPT for Coding? Honestly, if you’ve ever wrestled with a stubborn bug at 2 a.m., you’ll get why ChatGPT is a game-changer for developers. It’s like having that one genius teammate who never sleeps and always has a clean code snippet ready. At AMELA Technology, we use ChatGPT daily — to brainstorm ideas, generate boilerplate code, refactor messy functions, or debug stuff that just won’t run. It doesn’t replace real dev work, but it turbo-charges it. You throw in a quick prompt, and boom — you’ve got a working draft in seconds. What makes it truly powerful is how flexible it is. You can ask ChatGPT to: Explain a function you don’t fully understand. Generate boilerplate code for a new feature. Debug a snippet that keeps throwing an error. Optimize your existing code for readability or performance. For us, it’s become less of a “cool AI trick” and more of a go-to coding buddy that keeps projects moving fast when things get messy. [caption id="attachment_2205" align="aligncenter" width="1024"] How to prompt chat gpt for coding[/caption] How to Use ChatGPT to Write Code (Step-by-step Guide) Here’s the workflow we use at AMELA to get useful, shippable code out of ChatGPT without spending hours cleaning it up. 1. Define what you need — clearly and specifically The biggest mistake people make is asking vague things like “write a Python script” or “build a login system.” ChatGPT isn’t a mind reader — it performs best when you give a tight scope and clear parameters. Before you hit enter, make sure your request includes these 5 basics: Task – What exactly should it do? (e.g., “create an API endpoint that uploads an image to AWS S3”). Tech stack – Specify language, framework, and versions (e.g., Node.js + Express, Python 3.11). Inputs/outputs – Define what data it should handle and return. Constraints – Mention performance, security, or dependency rules (e.g., “avoid external packages”). Output format – Tell it what you want: a function, a class, or a complete file. Pro tip: If your task takes more than three lines to describe, it’s too big. Break it into smaller chunks. ChatGPT works best in short sprints. 2. Ask for a plan first — then the code When working with complex logic or multiple files, start by asking ChatGPT to outline its approach before writing code. For example: “Before coding, give me a brief plan with…