David Bonilla

Aviator Agents — An LLM framework for large scale code migrations

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Aviator Agents emulates human patterns to perform migrations by finding references, documentation, understanding dependencies, breaking down large chunks of code, and verifying build status. Agents plan steps to perform a task and iterate to improve accuracy.

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David Bonilla
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Hi Producthunters! We're excited to announce Aviator Agents - an LLM-based Agentic framework to perform large scale code migrations in your repositories. These agents emulate human patterns to perform migrations by finding references and documentation, understanding dependencies, breaking down large chunks of code, and verifying build status. Aviator Agents plan out steps to perform a task and iterate to improve accuracy. Unlike most LLM based frameworks, Aviator Agents is an end-to-end framework that works directly on top of GitHub. This eliminates the need to set up a custom environment and build process. Aviator Agents integrates directly with GitHub and supports Open-AI o1, Claude Sonnet 3.5, DeepSeek R1, and Llama 3.1 models. Sign up for early access: aviator.co/agents
Masum Parvej

@aviatordavid Excited to try Aviator Agents!




khusnul


Great achievement with Aviator Agents - this marks a significant step forward in automated code migration solutions.


How do you handle edge cases where code references are ambiguous or documentation is incomplete, and what success rate have you achieved in such scenarios?