Sept. 19, 2025

Why Vibe Coding Might Get You Hacked! Why AI Tools Act Like Junior Devs | Eric Müller

In this episode of An Hour of Innovation podcast, host Vit Lyoshin speaks with Eric Müller to explore how AI is transforming software development and the hidden risks developers and leaders need to understand.

Eric explains why tools like GitHub Copilot and other AI code assistants should be treated like enthusiastic but inexperienced junior developers. While they boost productivity and accelerate boilerplate coding, they also introduce serious risks, from hallucinated libraries and insecure dependencies to bloated, unmaintainable codebases.

Together, they unpack the rise of "vibe coding", the growing trend of developers generating code with AI tools without truly understanding what the code does. Eric reveals how this approach can lead to poor software quality, technical debt, and even security vulnerabilities like supply chain attacks.

The conversation also touches on:

* How to safely integrate AI into engineering workflows
* Why junior developers are still essential in an AI-powered world
* What makes a great engineering manager today
* How to prevent burnout and maintain psychological safety
* Real signals of team health and productivity beyond velocity

Whether you're a developer, manager, or tech leader, this episode delivers essential insights into the future of AI-powered development and how to avoid the trap of trading speed for safety.

Eric Müller is an experienced engineering leader and cybersecurity expert. He currently leads product engineering and digital security efforts at Work & Co. Over his 20+ year career, Eric has held leadership roles at companies like Presence, Razorfish, and Edelman, helping teams build secure, high-quality digital products. He is known for his thoughtful approach to engineering culture, developer experience, and security-first product development.

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Takeaways

  • AI tools act like junior devs, fast but risky without oversight
  • Vibe coding skips thinking and leads to bad code
  • AI can hallucinate libraries, opening security holes
  • Always review, test, and secure AI-generated code
  • Great for prototyping, not solving new problems
  • Junior devs are still essential, don’t stop hiring them
  • Managers should remove blockers, not micromanage
  • Burnout signals: too much pressure, no time off
  • Watch team health via Slack activity and standups
  • Best leaders listen, trust, and protect their teams

Timestamps

00:00 Introduction to AI, Developers & Software Innovation

03:36 Ads

04:50 How AI Coding Tools Are Changing Software Development

13:19 AI Limitations, Hallucinations & Common Misconceptions

17:00 Security Risks of AI-Generated Code & Maintenance Challenges

22:58 Why We Still Need Junior Developers in the Age of AI

28:02 What Makes a Great Engineering Manager in Modern Teams

31:48 Building Accountability & Psychological Safety in Dev Teams

36:25 Preventing Burnout & Promoting Work-Life Balance in Tech

41:30 How to Measure Team Health, Performance & Productivity

44:36 Transitioning to Engineering Leadership: Listening & Trust

46:42 The Future of AI in Secure & Scalable Software Development

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