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Start free trial →Ship It Weekly - DevOps, SRE, Platform and Cloud Engineering News · Hands-On Engineering Podcasts · November 2026
Asked what engineering leaders still get wrong about AI, Packer says many struggle with non-deterministic workflows and don't leave enough room for frontier experiments.
…that we would have the same or more engineers as we do today because there's just so much opportunity. But there is this interesting constraint that we're going through right now where you can't just throw an unlimited number of agents at the existing code base and expect to get the full leverage.
That's a good point. Okay, so wrapping up, what's something about AI or software engineering that you believe today that you would think a lot of engineering leaders still get wrong?
…build stuff and I want predictable outcomes, I think it can be difficult to maybe loosen the reins a little bit. And I'm not saying that people should go out and immediately turn over their entire organization to an LLM. But are we creating enough space within our organizations to have experimentation that is pushing the boundaries of what an LLM can do? You know, a lot of times I'll talk about if every project that we're doing has greater than 50% chance of success, we're not being ambitious enough. There's got to be something in our portfolio that we think only has a 10% chance of success. And that's where we see the real breakthroughs and the real changes in innovation. And so are we giving the LLMs big enough tasks? Are we turning enough over, again, not across the board, not recklessly, not all at once, but are we creating those areas of real frontier experimentation to push the limits and see what's possible?
Very well said. Where can people find out more about Bamboo HR?
Yeah, definitely check us out on social media. We're on all of the different social media platforms, but bamboohr.com. Also, check out the careers page. We're continuing to hire, looking for great talent, people that are excited about where this space is headed. We've got a lot of great…
Awesome. Ryan, thank you so much for joining me. Really, really appreciate that.