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AI Won't Solve Your Toughest Engineering Problems | Honeycomb’s Charity Majors
Manage episode 476039317 series 3617425
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Generative AI dominates the conversation, but does it actually make it easier to build, lead, and sustain high-performing engineering teams?
Host Conor Bronsdon sits down with Charity Majors, co-founder and CTO of Honeycomb (.io), and the mind behind charity.wtf. Known for her sharp insights and unfiltered opinions, Charity kicks off the discussion by expanding on her popular article: 'Generative AI is not going to build your engineering team for you.' Together, they explore how AI has altered the dynamics for engineering teams and leaders.
The discussion navigates the complex dynamics of hiring in an AI-enabled era, challenging the "senior-only" trend and championing the vital role of junior engineers in creating learning organizations. Charity also explains why writing code is often the "easy part" compared to the full lifecycle of owning and operating systems, a challenge amplified by AI-generated code.
Finally, Conor and Charity discuss the risk of "cognitive decay" from over-reliance on AI tools and why fostering deep system understanding remains paramount for engineers and leaders.
Chapters
00:00 Introduction and Guest Welcome
01:51 Generative AI and Engineering Teams
02:26 The Writing Process and Inspiration
03:49 AI's Impact on Hiring and Team Building
05:30 Embracing AI and Automation
07:43 The Role of Junior Engineers
09:33 Building Effective Engineering Teams
17:01 Future of AI in Code Generation
20:07 High Performing Engineering Teams
21:48 Evolving Expectations for Engineering Managers
22:41 Cognitive Decay
25:00 Feedback Loops in Software Systems
26:56 Hiring for Potential vs. Experience
29:17 The Future of Observability
39:50 Closing Thoughts and Advice for Engineers
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Learn more about Honeycomb: www.honeycomb.io
Read: Generative AI is not going to build your engineering team for you
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