Showing 3 open source projects for "learning"

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    AI-generated apps that pass security review

    Stop waiting on engineering. Build production-ready internal tools with AI—on your company data, in your cloud.

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  • Gemini 3 and 200+ AI Models on One Platform Icon
    Gemini 3 and 200+ AI Models on One Platform

    Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.

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  • 1
    Snippetory

    Snippetory

    Java templating solution with passive templates.

    Snippetory is a platform for java developers dealing with any text generation. The abstraction layer helps to keep the issues of the 'view' in the view, while all logic is implemented in java. Editing, debugging and testing, all with the tools one is already used to. The separation of template keeps the template simple, the logic compact, and easy to navigate, and offers completely new re-usage scenarios. Sourceforge code hosting is abandoned. Primary site is now...
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  • 2
    AppJoint

    AppJoint

    Cross module Android development made easy!

    AppJoint is a minimalist Android componentization tool that aims to simplify cross-module communication in modularized Android projects. In complex apps broken into multiple modules or “features,” invoking methods or classes across module boundaries can become cumbersome or tightly coupled. AppJoint uses a small set of annotations and a simple runtime API to decouple modules: one module can declare a method interface, annotate it, and other modules can call it dynamically without direct...
    Downloads: 0 This Week
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  • 3
    Spock Example

    Spock Example

    Spock example specifications along with ready-to-go Gradle builds

    ...The examples show how to integrate Spock into typical Java/Groovy projects, how to run tests inside IDEs like Eclipse or IntelliJ, and how to align build scripts with Spock’s dependencies. It serves as a learning aid for developers new to Spock or wanting to adopt its expressive syntax in real-world projects. Because Spock has a lot of syntactic expressiveness and unique features (e.g. built-in data tables, concise mocking), seeing concrete samples is especially helpful. The project lowers the barrier to entry by giving readers a working, runnable baseline to experiment with.
    Downloads: 0 This Week
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