Mukund describes how he and Madhav moved from research on software testing agents to general coding agents after realizing that verification could keep agents working longer. Their agents reached the top of SWE-bench within two months. After an enterprise-focused effort proved too slow, they launched a prototype-building pilot in June 2025 and found that most users were non-technical.
AI Is Unlocking Millions Of New Builders
Speaker
Mukund Jha, co-founder of Emergent, discusses building production-ready apps with AI agents and enabling non-technical users to turn business ideas into software on Y Combinator’s The Latent Space, alongside his twin brother Madhav Jha.
Mukund says Emergent aims to help users ship complete products, including backends, testing, deployment, security, and hosting, rather than only front-end prototypes. The company built its own container and Kubernetes infrastructure so the agent can get rapid feedback and build in an environment closer to deployment. Its multi-agent system delegates work such as testing and integration research, while saved trajectories help agents reuse lessons across sessions.
The team hides tools such as code diffs when they intimidate non-technical users, and considers how the agent experiences the platform as well as how the user does. In the demo, Emergent builds a podcast practice app and shows apps made by users, including an audio-video business intake tool and a CRM for lawyers. Mukund says the platform asks clarifying questions and can handle details such as using an Emergent API key.
Mukund argues that coding is only part of taking an app to production, and that users will want to build more as models improve. He says about 20% of apps built on Emergent are agentic, with agents handling workflows inside the apps. He expects longer tasks and teams of agents to require strong verification, including an overseeing agent that checks whether work is complete.
Mukund says many users are small-business owners replacing spreadsheets, email, and WhatsApp workflows with custom apps. He describes EquiMind, an app created by an Alaska-based clinical psychologist and equestrian coach who combined her expertise after finding development too expensive. The founders see software-building tools giving people more control to express ideas without losing details in translation to a developer.
Takeaways
- Build verification into agent workflows so they can work longer and recover from mistakes.
- Treat deployment, testing, and hosting as part of the product when users need working software.
- Use customer conversations to uncover specific workflows people want to automate.
- Hide technical complexity when it gets in the way of users completing their goal.
- Domain experts can build useful niche products when software is affordable and easy to change.
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What was claimed 26
- metricEmergent: 7 million apps built in eight months since launch
“in eight months since launch, seven million apps have been built with Emergent”
YouTube Unverified1 source· Talk
- featureEmergent: Platform lets anyone build and ship production-ready software using AI agents
“a platform that lets anyone build and ship production-ready software using AI agents”
YouTube Unverified1 source· Talk
- foundedMukund Jha founded Emergentco-founder
“founders of Emergent”
YouTube Unverified1 source· Talk
- role atMukund Jha is started the deep learning team at
AWS
“then started the deep learning team at Amazon”
YouTube Unverified1 source· Talk
- previously atMukund Jha previously at Zenefits
“Maddy went on to Zenefits”
YouTube Unverified1 source· Talk
- previously atMukund Jha previously at
Google“I dropped out of the PhD program, joined Google”
YouTube Unverified1 source· Talk
- previously atMukund Jha previously at Dunzoran a startup in India
“I was running a startup in India called Dunzo”
YouTube Unverified1 source· Talk
- metricSOTA: Number one on SWE-bench within two months
“became number one in the world on SWE-bench within two months”
YouTube Unverified1 source· Talk







