SuperSnippets
Organizes and syncs code snippets across Xcode, with AI helping generate new ones.
At a glance
3.9 out of 5
Scored by Alex after real useOur verdict
SuperSnippets stores, organizes and syncs code snippets, with Xcode Snippets integration and AI-powered prompts to help generate new ones from a document upload or a text description. It's built primarily around Swift and SwiftUI, though the developer says other languages and IDEs work too. It only runs on Mac, and with too few reviews to form an average, its reliability at scale is still an open question.
✓What it does well
✕Where it falls short
Key features
Questions about SuperSnippets
What is SuperSnippets?
SuperSnippets is a code snippet organizer that stores, organizes and syncs snippets, with Xcode Snippets integration across devices. Its AI-powered prompts help generate new snippets from a text description or an uploaded document. It is built primarily around Swift and SwiftUI.
Is SuperSnippets free?
Yes, SuperSnippets is free to use. Toolio lists a free tier at $0, and no paid plan was found on the App Store in September 2026. Its features include snippet storage, Xcode Snippets sync and AI-assisted snippet creation.
Does SuperSnippets work on Windows or Linux?
No. SuperSnippets runs on iOS and macOS, with no Windows or Linux version. Toolio marks it as not for developers on Windows or Linux machines, and the reviewer lists that platform limit among its main shortcomings.
Can SuperSnippets be used for languages other than Swift?
The developer says other languages and IDEs work with SuperSnippets, but the app is built primarily around Swift and SwiftUI. The reviewer treats support for other languages as a secondary case, so it best suits Swift and SwiftUI developers managing reusable snippets.
How does Toolio rate SuperSnippets?
Alex scored SuperSnippets 3.9 out of 5 on 4 Oct 2026 after real use. The reviewer praises its AI-assisted snippet creation and Xcode integration, but notes there are too few ratings to form an average, so its reliability at scale is still an open question.