Handling AI-Generated Code: Challenges & Best Practices • Roman Zhukov & Damian Brady
Feb 10, 2026•Channel
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Video Overview
Video Details
Published3 months ago
Duration29:03
Video IDIDCPVVvuAIQ
Languageen
CategoryScience & Technology
PrivacyPublic
Made for KidsNo
Video TypeRegular Video
Performance Metrics
Views421
Likes8
Comments0
Engagement Rate1.90%
Likes per 100 views1.90
Comments per 1K views0.00
Video Tags
Description
This interview was recorded for GOTO Unscripted.
https://gotopia.tech
Check out more here:
https://gotopia.tech/articles/419
Roman Zhukov - Principal Architect - Security Communities Lead at Red Hat
Damian Brady - Staff Developer Advocate at GitHub
RESOURCES
Roman
https://github.com/rozhukov
https://www.linkedin.com/in/rozhukov
Damian
https://bsky.app/profile/damovisa.me
https://hachyderm.io/@damovisa
https://x.com/damovisa
https://github.com/Damovisa
https://www.linkedin.com/in/damianbrady
https://damianbrady.com.au
Links
https://www.redhat.com/en/blog/ai-assisted-development-and-open-source-navigating-legal-issues
DESCRIPTION
Roman Zhukov (Red Hat) and Damian Brady (GitHub) explore the evolving landscape of AI-assisted software development. They discuss how AI tools are transforming developer workflows, making developers about 20% faster on simple tasks while being 19% slower on complex ones.
The conversation covers critical topics including code quality and trust, security concerns with AI-generated code, the importance of education and best practices, and how developer roles are shifting from syntax experts to system architects. Both experts emphasize that AI tools serve as amplifiers rather than replacements, with humans remaining essential in the loop for quality, security, and licensing compliance.
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