Satya Nadella

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366 appearances 1 recordings 1 series first heard Jun 2026 last heard 3 Jun

Satya Nadella’s voice in public audio — every appearance, attributed to the second.

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Latent Space: The AI Engineer Podcast · ⚡️Satya Nadella: No Priors x Latent Space Crossover Special at Microsoft Build · 3 Jun 2026 podcast

So it's interesting for all the things about where is software needed or where is UI needed.

You need that even for code, right, in a fully agentic world.

But that said, one of the things that we are starting to see, we started seeing with co-work, but even some of the work we showed with Autopilot on what with clause is a good one.

Because if you think about a lot of human capital is doing the glue work, right?

If you now can augment that with tokens slash agents that are long running, durable,

then your ability to scale even what is still judgment and glue work gets amplified like coding does.

So you can, I'm positive that six months from now, we'll all be saying, oh wow, like all through the night, there was a bunch of stuff that all these autopilots that I have working on my behalf with my delegated authority, so to speak, right?

I can, given even my identity,

did a bunch of work, then of course I'll need my new ADE to say, what did you do?

Did I do this work?

And so on.

So I think that's where compressing of workflows, completing of tasks, that's where I think a lot of the value gets created.

So in some sense, you call the harness

to define the models, the data, and the tools, and so that you have a loop across those three.

And so what we are trying to, first of all, make sure is each of our products that we build, whether it's GitHub Copilot or the security stuff we showed with M-Dash, or even the discovery for science, it doesn't matter.

All of them are multi-model harnesses with tools access.

so that you can do this progressive disclosure of tools even so that they're token efficient.

And then you're feeding it with very rich context because that's the other hard lesson we have learned in the last two years is, oh my God, the amount of work you need to do to prep the context layer such that your plan can execute in the most efficient way is where the magic is.

So we have, in our case, we have the GitHub harness

which essentially we're using across all our products.

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