I Quit My GitHub Job Because AI Breaks Software
Connect and ask me anything: / zen-van-riel
After 3.5 years at GitHub I resigned today. Not because I hated my job, but because I saw an industry-wide trend that I wanted to do something about. Companies are replacing entire parts of the software development lifecycle with AI agents, including code review, testing, deployment decisions, and architecture. The math is simple: imperfect systems generating enormous amounts of code will produce more bugs than humans can catch. I'm joining an AI research lab to build monitoring systems that keep code quality high as agents take on more of the development cycle.
What You'll Learn
Why the "100x developer" promise creates a statistical guarantee of more broken software
What happens when the industry treats pull requests as a bottleneck instead of a safeguard
Why stacking agents on agents ("playing dollhouse") does not converge to perfection
How AI safety roles are compensated and what skills actually matter at the $200k+ level
Timestamps
00:23 Why I resigned from GitHub
01:11 SDLC Replaced By Agents
02:40 More AI code = more bugs
03:30 Why agents reviewing agents does not work
04:30 The industry is ignoring the problem
05:25 Rogue AI is not fiction
06:15 Some software can be buggy
07:15 My next career step
Why I Made This Video
I spent 3.5 years building AI systems at GitHub and saw firsthand how the industry is prioritizing raw code output over software quality. I wanted to explain the statistical reality behind this trend before making a career move to help solve it.
#AISafety #GitHub
Connect
LinkedIn: / zen-van-riel
Community: https://www.skool.com/ai-engineer
Sponsorships & Business Inquiries: [email protected]