Docker just lately accomplished their AI/ML Hackathon. Contributors have been inspired to construct options which are modern, relevant in actual life, use Docker know-how, and have an effect on developer productiveness.
All submissions have been AI/ML tasks or fashions constructed utilizing Docker know-how and distributed by way of DockerHub, AI/ML integrations into Docker merchandise that enhance the developer expertise, or extensions of Docker merchandise that make working with AI/ML extra productive.
Most hackathons start and finish with a easy directive – individuals construct one thing and submit it earlier than the deadline.
However on this yr’s AI/ML Hackathon, Docker took issues a step additional. Contributors have been handled to a variety of classes specializing in serving to individuals construct higher-quality merchandise.
And on this context, we have been thrilled that Docker requested us to current our Livecycle Docker Extension as a device that Hackathon individuals can use to attain a blazing-fast collaborative expertise. As a substitute of getting held again by staging servers and CI builds, the Livecycle extension lets groups share the most recent adjustments with each other immediately, whereas code remains to be sitting in your native improvement setting. And with the built-in collaboration instruments, Hackathon Squads can save tons of time constructing nice merchandise with the Livecycle extension.
Try the whole session (given by our CTO @yshayy) on tips on how to use the Livecycle extension for Hackathon collaboration:
And take a look at the Livecycle Extension here.