James Reggio

speaker

667 appearances 1 recordings 1 series first heard Jan 2026 last heard 17 Jan

James Reggio’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Jan 2026 with 1.

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Latent Space: The AI Engineer Podcast · Brex’s AI Hail Mary — With CTO James Reggio · 17 Jan 2026 podcast

I think junior versus senior.

Junior versus senior, yes, exactly.

exactly like level mix.

Um and I still have more questions than I have answers there.

I think I think what has been really interesting is that I view

agentic development as being something that amplifies all the all the good just as much as it amplifies all the bad and the amplifies uh uh sloppiness, poor architectural thinking, um, uh misunderstanding of of the requirements.

Like there are are for all of the the acceleration of good outcomes, it also accelerates bad outcomes.

And I think what has been interesting is that there has been

when you sum that all together, there's less of a obvious um

like capacity increase, it's it's more it's more nuanced than that.

And so I'm not looking at headcount planning uh as we think about it next year as as being something like, oh well, because AI is giving us so much more leverage, we we don't need as many people.

Um we've actually the thing I'm really proud of in in my tenure as CTO is that we we haven't grown engineering at all.

What we've done is we've we've grown the business significantly

significantly, but we've been able to build uh like greater efficiencies in and how we execute, like how we how we uh we think about building, how we roadmap um what we choose to do and what not to do, that we're able to

uh to serve significantly more customers with more lines of business um without needing to grow engineering headcount.

I think that that's kind of the way that we're gonna just continue on this road is like I like having 300 engineers.

Like I would love, love to just, you know, a year from now have 300 engineers, but we're still, you know, 30, 50, 100% more efficient.

But uh th that that is the thing that comes up with uh with other engineering leaders and the other part of that conversation is like how much is AI getting blamed for just sort of ordinary performance oriented uh rips?

Yeah, like i if you've if Microsoft is letting go of like four thousand people as a business what they have a hundred and fifty thousand employees, I believe.

Uh is that really like AI causing that or is it them just using it as a way to uh to avoid some harder like perfect management decisions?

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