I’m currently building the AlterEgo platform, and here’s a concrete example of using AI to accelerate my coding:
My PO comes with that french Google Doc, and a beautiful list of choices defining work methods and personality traits.
Our UI designer has crafted a magnificent design on Canva.
Not so long ago, formatting and translating a text document into typed code would have taken a substantial, uninteresting, and repetitive amount of time.
Today, I can do it in a few minutes and dedicate my time to the project’s structure, a real pleasure.
Let me show you how.
0 — Starting Point
So, I started with this document:
1 — ChatGPT
As I code on VSCode, I integrated the GenieAI extension, allowing me to generate questions directly from GPT-4 within the editor.
The first step is to ask ChatGPT to generate a JSON translated into English from the Google document:
I insert the json into my TypeScript file, and Copilot comes into play.
2 — Copilot
Just by defining a variable whose name is part of my new object, Copilot directly suggests a complete object in camelCase:
The same goes for types; I simply type t, and Copilot directly suggests the type:
Then, a simple Enter, and I see the next type, just a tab away:
30 seconds later, my typing is ready for the attribute selection screen and their storage in my state:
Now I am ready to build Elisa’s screens without being frustrated by the time spent on translation and formatting.
Conclusion
Well that was a fun introduction about how AI takes care of boring tasks for me.
I’ll go further in the code in my next articles.
For example, I want to share with you how I built and optimized my React environment to quickly build screens.
Feel free to comment on parts you need more explanations for, or share your thoughts on how you would have handled the parts you disagree with.
Thanks for reading, see you around!
Originally published at https://dev.to on January 29, 2024.
