Mukund Jha, co-founder of AI platform Emergent, explains the core technical insight that led the company to pivot from automated testing to general AI coding agents.
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Mukund Jha: Emergent invented multi-agent paradigms before academic papers were published
“There was a time when we sort of invented the multi-agent system. We invented memory. We invented like, how do we do agent to agent communication? How do you scale up test time compute? A lot of those things which like were sort of coming out, like we would di…”
Insight
Adding deep developer power after building simple UX is structurally difficult
“And I think fundamentally it's like, unless you start from, you know, a starting point, which sort of solves all of these problems along the line, the whole software development life cycle, it's actually really hard to come from the other side and solve these …”
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Emergent tools enable one engineer to replace a five-person development team
“We also are internally seeing like the role sort of combining. So like a PM, a designer engineer, like a single person is doing, you know, like work of all three together, right? So like we have a PM who's By coding internally things. And recently like we so w…”
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Mukund Jha: Foundation AI models will become completely commoditized
“Most of these models are going to get, get really, really commoditized, like, where all of these models will have similar behaviors they'll have, you know, price, price competitiveness between them”
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Emergent lowers custom software development costs from $500,000 to $5,000
“And if you look at the price point that, you know, we are bringing down, it would have cost you like 500,000 dollars to build the software. Now you can build it for 5000 dollars completely on your own.”
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Jha: 80% of Emergent users have zero programming knowledge
“Today, 80% of users who are on the platform are non-technical users with zero programming knowledge.”