This technology is a method for rapidly generating a custom operating system using a structured AI-driven workflow.
Custom operating systems are essential for a wide range of applications, including embedded devices, IoT platforms, and specialized hardware. However, developing these complex software systems is often slow, resource-intensive, and difficult to automate. While current AI-enabled coding assistants accelerate human task completion, they are limited to smaller, isolated tasks like function completion, and struggle with the scale and contextual demands of building an entire software system from the ground up.
This technology describes a method called “Task Prompting,” which enables a human developer to effectively collaborate with a large language model (LLM) to generate a complete and functional operating system (OS) kernel. These prompts iteratively guide the LLM in creating all necessary C++ and assembly code for OS functionality on new hardware. This technology supports multi-process user application, virtual memory, systems calls, networking, and persistent storage.
This technology was successfully used to generate a high-performance OS kernel that can run on unmodified Linux applications with performance comparable to native Linux.
Patent Pending
IR CU25381
Licensing Contact: Greg Maskel
