Prototyping made easy

AI takes you from zero to a prototype extremely fast.

Making the code generated by the LLM into a production-grade, with a sensible architecture that allows for further development, is a challenging task.

Despite fast advancements in AI, I still prefer to do that manually.

But, having the ability to make a prototype quickly is extremely useful.

I needed to connect two different APIs and had a working version in 5 minutes. It would not survive in production, but to run it manually once was just what I needed.

Before, exploring the documentation on using each API would have taken me an hour. Now, I could generate it with a few prompts.

So, AI-generated code best fits my use case for experiments, one-off scripts, and exploring new frameworks/languages.

I’ve also found it good for debugging, and it has almost completely replaced searching through StackOverflow.

If you have an interesting use case that works well for you, I’d love to hear about it!

Yours,

Taj