Code migrations are necessary but painful. They’re tricky, time-consuming, and let’s be honest—boring. They demand precision but often end up being a brute-force operation riddled with trial and error.

That’s why we created Aviator Agents, an LLM-based Agentic framework to perform large-scale code migrations in your repositories.

Aviator Agents act as intelligent migration assistants, emulating human patterns to perform migrations by finding references and documentation, understanding dependencies, breaking down large chunks of code, and verifying build status. 

How Aviator Agents Works

1. Define the migration – Specify the change you want to make. This could be renaming an API, refactoring a code pattern, or updating dependencies.
2. AI generates initial suggestions – The agent analyzes your codebase and produces a migration plan, applying transformations in a sandboxed environment.
3. Human-in-the-loop refinement – Developers review, modify, and guide the AI’s changes, ensuring correctness.
4. Automated execution at scale – Once validated, Aviator Agents rolls out the migration across your entire codebase with confidence.
5. Continuous learning – Feedback loops refine future migrations, making each successive transformation smarter.

Unlike most LLM-based frameworks, Aviator Agents is an end-to-end framework that connects directly with GitHub. This eliminates the need to set up a custom environment and build process.

Use Aviator Agents For

• Framework upgrades: Seamlessly migrate from one UI framework to another without breaking existing functionality.
• API deprecations: Update all usages of a deprecated API across a monorepo, ensuring no lingering issues.
• Security fixes: Identify and patch vulnerabilities across thousands of services instantly.

Why Not Just Use Off-the-Shelf AI Coding Assistants?

General-purpose coding assistants like GitHub Copilot or Cursor are great for generating snippets or answering questions, but they fall short when applied to large-scale migrations. 

They lack:

• Deep integration with your codebase: Off-the-shelf assistants don’t have full visibility into dependencies, tests, or project-wide constraints.
• Multi-step reasoning: Code migrations require thoughtful, context-aware modifications, not just single-shot code generation.
• Feedback loops for accuracy: Aviator Agents continuously refine their changes based on user feedback, making them better over time.

Aviator Agents isn’t just another AI code assistant—it’s a purpose-built migration system built for scale and correctness.

By offloading the bulk of migration work to AI while keeping humans in control, Aviator Agents turns code migrations from a painful, drawn-out process into a streamlined, efficient workflow. The result? Developers spend less time on busywork and more time building.

Try Aviator Agents

If your team is tackling a large-scale code migration—or has been putting one off because it’s too daunting—Aviator Agents is here to help. Reach out to get early access and see how AI-powered code migrations can transform your engineering workflow.