127: AI for Code with Eran Yahav

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Brief Summary:Programming is difficult as it is, but imagine how difficult it was without all the current tools, compilers, synthesizers, etc. that we have today. Eran Yahav, Chief Technology Officer at Tabnine shares how AI is currently helping with code writing and how it could change in the future.00:00:16 Introduction00:00:51 Eran Yahav’s programming background00:08:11 Balance between Human and the Machine00:11:49 Static Analysis00:29:42 Similarities in Programming Constructs00:25:30 Average vs Tailored tooling00:36:19 Machine Learning Quality Metrics 00:38:27 Rollbar00:40:19 Model Training vs Statistic Matching00:50:19 Developers Interacting with their Code in the Future01:00:18 Tabnine01:08:17 FarewellsResources mentioned in this episode:Companies:Tabnine: Website: https://www.tabnine.com/Twitter: https://twitter.com/Tabnine_LinkedIn: https://www.linkedin.com/company/tabnine/Social Media:Eran Yahav, Chief Technology Officer at TabnineTwitter: https://twitter.com/yahaveLinkedIn: https://www.linkedin.com/in/eranyahav/Sponsor:RollbarWebsite: https://rollbar.com/Freebies: https://try.rollbar.com/pt/If you’ve enjoyed this episode, you can listen to more on Programming Throwdown’s website: https://www.programmingthrowdown.com/Reach out to us via email: programmingthrowdown@gmail.comYou can also follow Programming Throwdown on Facebook | Apple Podcasts | Spotify | Player.FM Join the discussion on our DiscordHelp support Programming Throwdown through our Patreon

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127: AI for Code with Eran Yahav

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127: AI for Code with Eran Yahav
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