Flyte enables production-grade orchestration for machine learning workflows and data processing created to accelerate local workflows to production.

Flyte

If I change something in `flytekit`, after validating locally, what is the easiest way to test that in cluster mode (--remote) besides updating the image?

image spec. <https://docs.flyte.org/projects/cookbook/en/latest/auto_examples/image_spec/image_spec.html>

```from flytekit import task, workflow
from flytekit.image_spec import ImageSpec

new_flytekit = "git+<https://github.com/flyteorg/flytekit@8c7c43ad310ec74b4e8c06c2b4604b6cb9692f86>"
image_spec = ImageSpec(packages=[new_flytekit], registry="pingsutw", apt_packages=["git"])


@task(container_image=image_spec)
def t1():
    print("hello")```
