Customizable snipping is a feature editors support (which I mentioned as they are related/similar to what the AI is doing), but is different to the AI autocomplete behaviour.

If I have a JSON structure, I can paste that into the file as a comment, e.g.:

    # {"foo": 1, "bar": "test", "baz"}
    @dataclass
    class FooBar:
        foo:

and the AI will/can autocomplete/generate that to:

    @dataclass
    class FooBar:
        foo: int
        bar: str
        baz: int

using the JSON example. Then if you type:

        def __str__(self):

the AI could then contextually generate, e.g.:

    return f'Foo(foo={self.foo}, bar={self.bar}, baz={self.baz})'

Or if you have a SQLAlchemy model:

    class Foo(Base):
        __tablename__ = 'foos'

    bar_id: Mapped[int | None] = mapped_column(ForeignKey('bars.id'), default=None)

typing `bar:` the AI can autocomplete:

    bar: Mapped[Optional['Bar']] = relationship()

picking up that you have a `Bar` class in the file. Especially if you have other similar id/object definitions in the file.