Aviator Agents is an LLM-based Agentic framework designed to perform large-scale code migrations in repositories. It acts as intelligent migration assistants, emulating human patterns to find references and documentation, understand dependencies, break down large chunks of code, and verify build status. The agent works through a collaborative process involving defining the migration, generating initial suggestions, refining them with human input, executing the migration at scale, and continuously learning from feedback. Unlike general-purpose coding assistants, Aviator Agents is specifically designed for large-scale migrations, offering deep integration with the codebase, multi-step reasoning, and feedback loops for accuracy. By offloading bulk migration work to AI while keeping humans in control, Aviator Agents turns code migrations into a streamlined workflow, allowing developers to focus on building rather than busywork.