Is AI Making You an Average Engineer?
Update: 2026-09-30
Description
In this episode of The Agentic Review podcast, Liz Fong-Jones, Technical Fellow at honeycomb.io and Co-Author of Observability Engineering, joins Itamar Friedman and Nnenna Ndukwe for an open conversation about what happens when your team’s pull request volume more than doubles thanks to AI. Drawing on her two-plus decades in site reliability engineering, Liz shares how Honeycomb went from roughly 30 to 70 PRs on a peak weekday, and the honest tradeoffs that came with it.
Key Takeaways:
Key Takeaways:
- Why doubling PR volume isn’t automatically a win
- How to defend your codebase from regression to the mean
- Why observability, tests, and feature flags finally get built
- How to shrink incidents from hours to minutes
- A new model for training junior engineers
Liz Fong-Jones is a Technical Fellow at honeycomb.io and Co-Author of Observability Engineering. With more than two decades in site reliability engineering and developer advocacy, including 11 years at Google and nearly 8 at Honeycomb, Liz has become one of the most recognizable voices shaping how modern engineering teams think about production systems, feedback loops, and reliability culture. Her work sits at the intersection of engineering and go-to-market, helping forward-thinking engineering leaders move their organizations faster without sacrificing the guardrails that keep production safe.
Episode resources
- Liz Fong-Jones on LinkedIn
- Honeycomb.io Website
- Observability Engineering
- Itamar Friedman on LinkedIn
- Nnenna Ndukwe on LinkedIn
- Qodo Website
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