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127: AI for Code with Eran Yahav

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Manage episode 320399947 series 8393
Content provided by Patrick Wheeler and Jason Gauci, Patrick Wheeler, and Jason Gauci. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Patrick Wheeler and Jason Gauci, Patrick Wheeler, and Jason Gauci or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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 Introduction

00:00:51 Eran Yahav’s programming background

00:08:11 Balance between Human and the Machine

00:11:49 Static Analysis

00:29:42 Similarities in Programming Constructs

00:25:30 Average vs Tailored tooling

00:36:19 Machine Learning Quality Metrics

00:38:27 Rollbar

00:40:19 Model Training vs Statistic Matching

00:50:19 Developers Interacting with their Code in the Future

01:00:18 Tabnine

01:08:17 Farewells

Resources mentioned in this episode:

Companies:

Social Media:

Sponsor:

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.com

You can also follow Programming Throwdown on

Facebook | Apple Podcasts | Spotify | Player.FM

Join the discussion on our Discord

Help support Programming Throwdown through our Patreon

★ Support this podcast on Patreon ★

  continue reading

177 episodes

Artwork

127: AI for Code with Eran Yahav

Programming Throwdown

10,265 subscribers

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Manage episode 320399947 series 8393
Content provided by Patrick Wheeler and Jason Gauci, Patrick Wheeler, and Jason Gauci. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Patrick Wheeler and Jason Gauci, Patrick Wheeler, and Jason Gauci or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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 Introduction

00:00:51 Eran Yahav’s programming background

00:08:11 Balance between Human and the Machine

00:11:49 Static Analysis

00:29:42 Similarities in Programming Constructs

00:25:30 Average vs Tailored tooling

00:36:19 Machine Learning Quality Metrics

00:38:27 Rollbar

00:40:19 Model Training vs Statistic Matching

00:50:19 Developers Interacting with their Code in the Future

01:00:18 Tabnine

01:08:17 Farewells

Resources mentioned in this episode:

Companies:

Social Media:

Sponsor:

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.com

You can also follow Programming Throwdown on

Facebook | Apple Podcasts | Spotify | Player.FM

Join the discussion on our Discord

Help support Programming Throwdown through our Patreon

★ Support this podcast on Patreon ★

  continue reading

177 episodes

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