Using a Large Code Base for Enhanced Auto-Completion | 1min snip from This Week in Startups

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Magic.dev CEO Eric Steinberger on making developers bionic | E1744

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Using a Large Code Base for Enhanced Auto-Completion

The model can handle large code bases much bigger than any GPTs/nThe model can auto complete from previous code based on repositories/nThe model recognizes context in coding

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Today’s show:

Jason is joined by Magic.dev CEO and Co-Founder Eric Steinberger to discuss how his startup makes developers more efficient with AI by auto-generating code. The first portion of the interview features Eric demoing his software. Then, Jason and Eric dive into the impact that these rapid AI advancements will have on society (31:28), how their tools have the potential to significantly minimize coding time and what that means for entrepreneurship (13:55), and much more!

Time stamps:

(00:00) Eric Steinberger joins Jason

(1:44) Eric and Jason explain what Magi.dev is

(3:43) Eric Demos Magic.dev

(9:13) What makes this AI model unique

(11:02) Crowdbotics - Get a free scoping session for your next big app idea at ⁠http://crowdbotics.com/twist⁠

(12:11) Magic.dev's motivation behind building their own language model

(13:55) The efficiency gains achieved with Magic.dev

(17:32) Exploring reinforcement learning and grounding the AI model

(19:45) Microsoft for Startups Founders Hub - Apply in 5 minutes for six figures in discounts at http://aka.ms/thisweekinstartups

(21:19) The two parallel paths unfolding

(23:57) How close we are to developing more capable AI systems