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Pybites Podcast
Julian Sequeira & Bob Belderbos
210 episodes
1 week ago
In this episode, we talk with Aaron Jorgensen about how JobHive came to life - starting as a small résumé-parsing experiment and gradually growing into a structured, AI-supported interview workflow. Aaron explains how the system handles voice capture, transcription, prompts, and AI avatars, and why he moved toward a multi-agent approach instead of relying on one model to do everything. We dig into what “fair scoring” actually means, how cross-checking evaluators and confidence levels work, an...
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Technology
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In this episode, we talk with Aaron Jorgensen about how JobHive came to life - starting as a small résumé-parsing experiment and gradually growing into a structured, AI-supported interview workflow. Aaron explains how the system handles voice capture, transcription, prompts, and AI avatars, and why he moved toward a multi-agent approach instead of relying on one model to do everything. We dig into what “fair scoring” actually means, how cross-checking evaluators and confidence levels work, an...
Show more...
Technology
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#202: Behind the scenes at Pybites with Bob and Julian
Pybites Podcast
38 minutes
4 months ago
#202: Behind the scenes at Pybites with Bob and Julian
In this episode we share some of the exciting things happening behind the scenes at Pybites. From our new partnership in South Africa to coaching success stories that showcase real-world career transformations, we reflect on how far we've come in making Python accessible, building community, and helping developers grow. We also talk about our expanding cohorts in Rust, AI, and Django, the power of our accountability sessions, and why we’ve chosen to keep our platform AI-free. Join...
Pybites Podcast
In this episode, we talk with Aaron Jorgensen about how JobHive came to life - starting as a small résumé-parsing experiment and gradually growing into a structured, AI-supported interview workflow. Aaron explains how the system handles voice capture, transcription, prompts, and AI avatars, and why he moved toward a multi-agent approach instead of relying on one model to do everything. We dig into what “fair scoring” actually means, how cross-checking evaluators and confidence levels work, an...