Speaking at the company’s aiDevCon event, Tessl CEO Guy Podjarny told conference attendees that the company is moving to make it simpler to combine AI skills and self-optimizing loops to create a software factory using specifications defined in the Tessl platform. Rather than a DevOps team having to build their own software factory, Tessl is making a case for a platform that makes it possible to build AI skills and loops or customize a set that Tessl now provides to address workflows such as ticket to pull request (PR), code review and vulnerability remediation. Those reusable loops are based on AI skills that are combined to create a software factory.
Rather than building a single software factory, however, each product team will deploy their own software factory because the requirements of various applications are fundamentally different from one another, said Podjarny. It’s not clear how far down the path DevOps teams are toward building software factories in the AI era, but the overall pace at which software can be built and deployed is clearly accelerating. The challenge is that the cognitive load associated with managing agentic workflows is considerably higher.
