Manu Narayan

speaker

373 appearances 1 recordings 1 series first heard Jul 2026 last heard 22 Jul

Manu Narayan’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 Jul 2026 with 1.

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Talking AI · Past the Productivity Ceiling: Rebuilding the Enterprise from First Principles · 22 Jul 2026 podcast

I think one, how we leverage it internally, but also why I think it matters more broadly for the industry.

Certainly we see there are a lot more builders out there, right?

And that's it an incredible thing to see.

The barrier when it comes to creating an application is on one hand, I'm incredibly small.

But as we think about all the other challenges of how you visualize something, and it's again things like security, like how and where do you host it and build it, and just like all of those more complex challenges, I think that's how we leverage.

dual agent platform internally is it's our ability to really give team members that opportunity to build at scale, but still by enforcing the level of governance and control that we need to both as a public institution as well as one that has a lot of regulated customers.

And I think that is a distinction that is easy to forget about as we talk more broadly about the advances in AI and AI for coding.

There's a lot that happens client side today, whether using Codecs or Cloud or even open source models, and you can do so much just sitting on your local computer, right?

But

I like to think about this distinction between local versus repo side.

And when you think about what's happening repo side or what's happening server side, that's ultimately where you can put in assurance and governance and guardrails and the things that make you really comfortable about what's being developed.

And I think that's the balance that we find with dual agent platform is we say develop software in whatever mode and approach you want, but ensure that you have the right level of governance on that repo side, but leveraging AI agents to make that as increasingly low lift as possible.

And so we think about code reviews as a really common use case.

We have AI generated code reviews.

You can do auto remediation for security vulnerabilities that are

found you can do there's a pipeline is running to actually push the code out.

If that has a failure, we can use AI for auto remediation on those pipelines.

And so we find we can really compress the after code part of the software lifecycle really heavily using the dual agent platform.

But that's something you can't natively or as at easily do if you're just running AI locally.

Yeah, I think you kinda hit the nail on the head where

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