Astral Firewall-1

Crawling Through the Fiber

This is the Engineering Culture Podcast, from the people behind InfoQ.com and the QCon conferences.
In this podcast, Shane Hastie, Lead Editor for Culture & Methods spoke to Sergii Gorbachov, a staff engineer at Slack, about how they successfully used AI combined with traditional coding approaches to migrate 20,000 tests in 10 months, discovering that AI alone was insufficient and required human oversight and conventional tools to work effectively.

Read a transcript of this interview: https://bit.ly/3ZO1HFt

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Transcript

Using AI Code Generation to Migrate 20000 Tests

As AI-generated code becomes more common, detecting it is now a priority. In this episode, we explore how Codequiry uses an advanced AI code detector to identify code written by tools like ChatGPT. Learn how this technology supports educators, developers, and institutions in preserving code originality in a world where machine-written code is the new normal. For more details please visit: https://codequiry.com/chatgpt-written-code-detector/

How AI is Changing Code Plagiarism Detection | Codequiry

Software engineers, architects and team leads have found inspiration to build better, high performing teams by listening to the weekly InfoQ Podcast. We have achieved that by interviewing some of the top CTOs, engineers and technology directors from companies like Uber, Netflix and more. Over 500,000 downloads in the last 3 years.

Codequiry provides the  best and reliable detector to check the source code plagiarism. Which is used to detect plagiarized code for code checkers , but the most popular tool is Moss System. Visit our website to know more.

New tracks tagged #AI code