Playerzero has increased M 15M to prevent AI agents from small code

As Silicon Valley runs towards the future where AI agents mostly programming software, a new problem arises: searching insects through them before they come into production. Even the opening is dealing with such matters, a former employee has stated.

New Funded Startup Playerzero Startup CEO and only founder, Animash Koratana, told Tech Crunch that a solution has been developed: Use trained AI agents to find problems and fix problems before preparing the code, the CEO and the only founder of the Startup, Animash Koratana told the Tech Crunch.

Koratana formed the player’s zero while he was in Stanford Dawn Lab for machine learning under Matthew Matthew, Matthew Zahariya. Of course, of course. Is a famous developer and co -founder of data bikes. He worked on his doctorate and formed his basic technology.

The player announced on Wednesday that it increased the $ 15 million series led by the Foundation Capital’s Ashu Garg, a preliminary data BRICS Baker. It pursues $ 5 million seeds, headed by Green Bay Ventures and several notable angels, including Zeria, Dropbox CEO Drew Houston, Figma CEO Delon Field, and Versel CEO Gelmo Roch.

During his time in Stanford Dawn, Cortana, who is now 26 years old, was working on AI model compression technology and “really came out in front of language models,” he says. He met with developers who first developed some AI coding aid tools.

He then hit him, “This is the world in which computer codes are going to be writing. Now it is not going to be a human,” Cortana told Tech Crunch. “Is it going to look like the world at this point?”

He knew that before the term “Ai slope”, it was also developed that these agents were going to produce the code that broke things in the same way as their human supervisors did.

This issue has also been given more code crank than many agents that were written earlier. It is not always practical for humans to test all AI-written code for insects or deception. And this problem becomes even faster for large, complex code bases, which depends on businesses.

Kuratana says the player trains models “who really understand the code bases, and we understand their methods of building them, the way they are archived.”

Its tech studies the history of an enterprise insect, problems and solutions. When something is broken, his product “Why and can fix it, and then learn from these mistakes to prevent them from being again,” says Koratana. He describes his product with the immune system for large code bases.

Landing his adviser Zaria was the first step in funding as an angel, but the moment confirmed his idea when he showed another famous developer: Raoch to the demo. Raoch is founder Triple Unicorine Developer Tool Company Versel and Creator of the popular open source JavaScript framework Next Dot Jay.

Raouch looked at Koratana’s demo with interest, but skeptical skepticism asked how much of it was “real”. Koratana replied that the rule was “running in production. Like, this is a real example. And he was silent.” Then soon his Gospel investor replied, “If you can really solve the way you are imagining, this is a really big deal.”

Of course, the player is not alone in trying to solve the AI-generation problem. Just last week, the cursor of the infer Big Boat launched To detect coding errors, just for example.

Nevertheless, the player is already getting traction to emphasize the big code base. Although it was considered for a world where agents are coded, it is currently being used by several large businesses that use coding co -pilots. For example, the subscription billing company is one of the market users of the Zyra Startup. It states that Zora is using tech in its engineering teams, including its most valuable code, its billing systems.