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In 2025, it was rational to be skeptical about AI, but in 2026 it’s clear that AI is changing all of the industry, and there’s less and less place for skepticism. This take is from one of my favorite voices in software reliability and observability: Charity Majors, CTO and cofounder of Honeycomb, co-author of Observability Engineering. (Note: the second edition of Observability Engineering is out, and it’s pretty much a full rewrite of the book, I recommend grabbing it if you’re building reliable systems)
In this episode, I sat down with Charity to discuss how her thinking on AI has evolved, why she believes it is becoming a foundational part of software engineering, and what that means for how teams build, review, and ship software.
We explore how AI is changing the economics of code generation, why reliability and verification are increasingly the bottlenecks, and why the rise of non-deterministic systems requires more engineering discipline. Charity shares her views on code reviews, observability, DevOps, leadership, and why both AI skeptics and enthusiasts are getting important things right.
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Timestamps
Intro
How Parse led to Honeycomb
The limits of individual productivity metrics
How Charity’s perspective on AI has evolved
Rewriting code vs. editing code
Production as a stage of development
Code reviews
Non-deterministic systems
Sensible uses of AI
The two AI camps
Why AI works so well for building software
DevOps
Modern observability
Handling context overload
What’s new in Observability Engineering’s 2nd edition
What effective leadership looks like
Engineering management: what is changing?
Junior engineers
AI fatigue
Book recommendations
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The Pragmatic Engineer deepdives relevant for this episode:
• Deepdive: How 10 tech companies choose the next generation of dev tools
• Why is Meta destroying its engineering organization?
• When AI writes almost all code, what happens to software engineering?
• Are AI agents actually slowing us down?
• Observability: the present and future, with Charity Majors
• The third golden age of software engineering – thanks to AI, with Grady Booch
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