AIs that write code: when do I really need them?

The difference in a table

Which to choose

Start from who you are. If you're not a programmer and you need to solve something limited — automating a spreadsheet, fixing a small formula, understanding what a piece of code you found does — a generalist assistant is more than enough: it writes it for you, explains it to you, and you paste it where needed. If instead you write software continuously, you need tools designed for code, which see the whole project, integrate into the editor you work in and reason over large codebases without getting lost: there the generalist falls behind. And if you're learning to program, the most useful thing isn't the most powerful tool, but the one that lets itself be used as a tutor: it explains the errors to you, makes you understand why, doesn't just give you the solution to copy.

When the comparison changes

Generalist assistants write code better and better, and the boundary with specialized tools keeps shifting: tasks that yesterday required a developer tool today the all-rounder handles too. The clue that doesn't age isn't which product is "for code", but the size and seriousness of what you build. A personal automation does fine on a generalist; real software, made of many files and that others will use, calls for dedicated tools. That criterion holds up to every improvement in the models.

Frequently asked questions

Without knowing how to program, can I use them?

Yes, for simple things: asking for a formula, a small script, an explanation. The caveat is not to run blindly code you don't understand, especially if it touches files, systems or important data. Have it explain what it does before you launch it, and test it in a context where an error causes no harm.

Is the code it generates correct and safe?

It should always be tested. The AI produces plausible code, but it can contain errors, unhandled cases or vulnerabilities, exactly as it can get a text wrong. For something important, generated code is a starting point to verify and test, not a solution to trust blindly.

Do I need to pay to write code with AI?

For light and occasional use, no: the free plans write small scripts and formulas without problems. Paying makes sense for those who develop a lot and need the dedicated tools, the editor integration and the ability to handle large projects.

With AI, can anyone create an app without knowing how to program?

No, not entirely, and it's the promise that does the most harm. AI lowers the barrier enormously and gets you to something that seems to work; but understanding what you're building remains necessary to make something reliable out of it. Without foundations, you produce an app that holds up until it meets an unforeseen case, and when it breaks you know neither why nor how to fix it. AI gets you to start much farther along; the journey to something solid still requires understanding the road.