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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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...
#192: Coding smarter not harder - 5 key ways to succeed as a developer
Pybites Podcast
33 minutes
7 months ago
#192: Coding smarter not harder - 5 key ways to succeed as a developer
Are you ready to level up your Python skills? In this episode we share the five common mistakes that hold learners back, and how to avoid them. From setting clear goals to building simple, impactful projects, we’ll show you how to turn scattered effort into strategic growth. Learn to stay focused in a world full of distractions, seek mentorship confidently, and reframe challenges as stepping stones. Whether you're stuck in tutorial loops or just getting started, this guide will help you...
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...
