You shouldn't need to understand AI models to start coding with AI

One thing we've noticed with AI coding is how much setup there can be before you even write your first prompt.

Pick a provider.

Get an API key.

Choose a model.

Figure out pricing and limits.

Then finally you can start building.

For someone who's already technical, that's not a huge deal. For a beginner who's just thinking “I want to build an app with AI”, it can be enough to make the whole thing feel unnecessarily complicated.

That's one of the reasons we started building Clixad.

Clixad is a cloud-based AI coding agent that runs in the terminal. You can give it a project and it can inspect files, make changes, run commands, test things and iterate on errors.

There's no need to bring your own API key, and there's no mandatory monthly subscription.

Users get free credits and can earn more through advertiser-funded offers, forms and surveys.

The goal isn't to make AI inference magically free. It's to remove as much of the initial cost and setup as possible so someone can actually get started.

We think this matters more as AI coding becomes more common. The interesting question isn't only which model is strongest anymore, but also how many people never get far enough to use these tools in the first place.

We're curious what people here think:

Is setup and pricing actually a major barrier for beginners getting into AI coding, or do most new users figure it out pretty quickly?