platforms/jvm/testing-jvm-infrastructure/   @gradle/bt-jvm @gradle/dv-acceleration-team

# Software platform
platforms/software/                         @gradle/bt-jvm

# Extensibility
platforms/extensibility/                    @gradle/bt-tide
platforms/core-runtime/daemon-messaging     @gradle/bt-tide

# Native
platforms/native/                 @gradle/bt-jvm

# IDE Experience

            <option value="$PROJECT_DIR$/platforms/extensibility/plugin-development" />
            <option value="$PROJECT_DIR$/platforms/extensibility/plugin-use" />
            <option value="$PROJECT_DIR$/platforms/extensibility/test-kit" />
            <option value="$PROJECT_DIR$/platforms/extensibility/unit-test-fixtures" />
            <option value="$PROJECT_DIR$/platforms/ide/base-ide-plugins" />

    "crossVersionTests": false
  },
  {
    "name": "plugin-development",
    "path": "platforms/extensibility/plugin-development",
    "unitTests": true,
    "functionalTests": true,
    "crossVersionTests": true
  },
  {
    "name": "plugin-use",
    "path": "platforms/extensibility/plugin-use",
    "unitTests": true,
    "functionalTests": true,
    "crossVersionTests": false
  },

This includes software that is implemented using Java, Kotlin or some other JVM language.

This platform provides specific support for Java, Groovy and Scala, and includes the foojay toolchain plugin. 

#### Extensibility platform

This is a platform that builds on the core, software and JVM platforms to add support for extending Gradle by implementing and applying plugins.

- The members name and typeDescription of the Reflector struct were exported to allow for better user extensibility. ([#127663](https://github.com/kubernetes/kubernetes/pull/127663), [@alexanderstephan](https://github.com/alexanderstephan))

* Improved **correctness** in corner cases.
* **Safer** types.
* Better **performance** and **less energy** consumption.
* Better **extensibility**.
* etc.

...all this while keeping the **same Python API**. In most of the cases, for simple models, you can simply upgrade the Pydantic version and get all the benefits. 🚀