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Squashing bugs using AI and Machine Learning

Squashing bugs using AI and Machine Learning

FromProgramming Throwdown


Squashing bugs using AI and Machine Learning

FromProgramming Throwdown

ratings:
Length:
63 minutes
Released:
Feb 18, 2020
Format:
Podcast episode

Description

The best part of hosting Programming Throwdown is reading emails from people who listened to this show before they had any coding experience and went on to land jobs in tech. Thanks so much for inspiring us with your stories. My second favorite part of hosting the show is hearing about so many awesome programming tools and resources, often when they are just starting out. DeepCode is one of these amazing resources. DeepCode is a static analysis tool that looks at your code and, using AI trained on all code in github (!!!), finds common mistakes and offers suggestions on how to resolve. I am a heavy user of static analysis tools, and yet DeepCode was still able to find real issues in one of my python projects above and beyond pylint and mypy. Best of all, it's completely free to use for open source projects! Give it a shot and let us know what you think! Show notes: https://www.programmingthrowdown.com/2020/02/episode-99-squashing-bugs-using-ai-and.html★ Support this podcast on Patreon ★
Released:
Feb 18, 2020
Format:
Podcast episode

Titles in the series (100)

Programming Throwdown attempts to educate Computer Scientsts and Software Engineers on a cavalcade of programming and tech topics. Every show covers a new programming language, so listeners will be able to speak intelligently about any programming language. Look for our Podcast in the iTunes Store