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.
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
Hey @davidbonilla this is really an amazing platform to perform large scale migrations of code base upvoted your product. I believe you folks would be the perfect candidate for using EfficientAI. We would love to have you guys on board as Beta users and get your valuable feedback on our platform.
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?
About Aviator Agents on Product Hunt
“An LLM framework for large scale code migrations”
Aviator Agents launched on Product Hunt on February 27th, 2025 and earned 101 upvotes and 2 comments, placing #26 on the daily leaderboard. 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.
Aviator Agents was featured in Software Engineering (42.3k followers), Developer Tools (511.1k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 91.2k products, making this a competitive space to launch in.
Who hunted Aviator Agents?
Aviator Agents was hunted by David Bonilla. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Aviator Agents stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
David Bonilla