
Why the traditional pull request has a target on its back | CircleCI’s Rob Zuber
The traditional pull request was built for human eyes, but in an era of autonomous AI agents, it officially has a massive target on its back. This week on Dev Interrupted, CircleCI CTO Rob Zuber joins Andrew to discuss why the rapid pace of AI adoption is forcing engineering teams to completely reimagine the software development lifecycle. They explore the shift toward an accountability-oriented model for code review, how CI/CD validation is moving directly into the local agent loop, and the very real financial dangers of unchecked token budgets. Finally, Rob shares his playbook for leading organizations through...
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B1 · Intermediate
Fine if you can follow simple news
- 81% of the words are B1 or easier.
- 193 words a minute: natural, fairly fast speech.
- 174 harder words (B2 and up) in the whole episode.
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The opening of the episode. The whole transcript is in the player.
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Welcome back to Dev Interrupted, brought to you by Linear B. Quick thing before we start. My guest today is Rob Zuber, the CTO of CircleCI, and one of the most familiar voices on this show. And the idea that stuck with me from our conversation was how the pull request is really starting to feel like a relic.
Because when machines write most of the code and expecting humans to read every line stops scaling. And Rob's version of the future is a system that tells you what the machines are doing with a high level of accuracy and being a part of the review process with you. And that's a big part of why Linear B sponsors this show in the first place.
Because, you know, AI is writing the code. It's piling up. But the real question is what happens afterwards. Did it merge or hold up?
That was the opening. The rest of the episode (44 min) is in the player: every word clickable, with translation, saved words and flashcards.
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