Computing US 12,468,510 B1 Not in force

AI-powered iterative human-in-the-loop feedback system

This system uses artificial intelligence to automatically suggest ways to make computer programs run faster in cloud computing environments. It collects details about a program, like its code and how it's performing, and then asks an AI to recommend specific changes to improve it. These suggested changes, along with reasons why, are then shown to a human user, often as a visual comparison of the original and modified code or as a proposed code update.

Why it matters: While LLMs were already capable in 2025, their rapid advancements in code reasoning and generation fidelity since then could significantly reduce the human effort required for validation.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, LLM integration, UI development

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