Autosana Builds the End-to-End Testing Layer AI Coding Agents Have Been Missing

Coding agents have gotten remarkably good at writing code. They’re still not great at proving that their code actually works. Autosana, a Summer 2025 Y Combinator company, is out to close that gap with an end-to-end testing layer purpose-built for AI coding agents, covering iOS, Android, and Web apps at once.

Autosana’s promise to developers is simple: step away from your laptop, and come back to full-stack features that have been built and tested end-to-end, production-ready. The platform automatically creates, updates, and runs tests from a team’s code diffs. Locally, it loops with the developer’s coding agent until every test passes; in pull requests, it loops with cloud agents and returns video proof of the new feature or bug fix working end-to-end. There’s no setup to speak of and no test maintenance burden – the tests evolve with the codebase in lockstep. For engineering teams that are increasingly delegating implementation to coding agents, Autosana is positioning itself as the missing piece that lets them actually trust and merge that work.

The company was founded in 2025 by Yuvan Sundrani and Jason Steinberg, a two-person team with a builder-first track record and serious mobile product experience. Yuvan describes himself as a lifetime builder – his earlier projects ranged from CO2-powered web-shooters to wrist-mounted flamethrowers – and has since been engineer number one and CPO at a martech startup that grew to around seven-figure ARR, and engineer number one at an AI therapy startup. Jason co-founded a contact-sharing app in 2020, played club hockey at the University of Maryland, and was on the founding teams of multiple mobile-first startups before a two-month bike trip across America and, now, the decision to make mobile QA a lot less painful. Between them, the team has shipped, supported, and stress-tested the kind of consumer and B2B mobile apps where broken flows cost real money.

The market moment is well chosen. As coding agents take on more of the routine work of shipping features, the bottleneck shifts to verification – did the change actually do what it was supposed to do, across every platform and surface it touches? Existing E2E testing tools were built for human engineers who could manually nurse flaky tests back to health. AI coding agents generate and modify code far faster than humans can write tests for, which means the testing layer has to be generated and maintained by AI too. Autosana is among the first companies explicitly designing for that world, and doing it across the three platforms where bugs most often hide: iOS, Android, and Web.

Autosana is early – the founders are actively hiring a Founding Engineer – but the thesis and the product shape are sharp. For teams racing to make coding agents productive in production, Autosana’s AI test automation platform offers the trust infrastructure that separates an impressive demo from a safe merge – and that’s a problem only getting more urgent.