Rethinking Product Engineering in the Age of AI
As CTO at Rootly, I’ve transformed how we evaluate product engineers, acknowledging that AI has redefined our expectations. Here’s how our approach has evolved:
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Old Metrics:
A code-first evaluation focused heavily on:- Code quality and style
- Edge case handling
- Going beyond basic requirements
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New Focus Areas:
Now, we emphasize:- AI Fluency: How candidates leverage AI tools creatively.
- Problem-Solving: Analyzing their decision-making and architecture choices.
- Behavioral Signals: Observing adaptability when faced with challenges.
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Submission Evolution:
Candidates now submit:- Code in a GitHub repo.
- AI interaction transcripts, revealing their thought process.
- A Loom demo summarizing their approach.
AI has shifted the hiring landscape. We seek engineers who can innovate with AI as a partner, transforming challenges into solutions.
🌟 Join the conversation! How have you adapted your engineering practices for AI? Share your thoughts!
