RubiCoder is a dual-model AI coding agent powered by MiniMax M3 and Qwen 3.7 Max. Upload Python files, notebooks, or multi-file projects to analyze code, find issues, generate fixes, and build new features with full project context. Switch between models based on the task and work without message limits on the Max plan.
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Maker
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Hi Product Hunt! 👋
I built RubiCoder to make codebase-level AI assistance simpler and more accessible. Instead of working with isolated snippets, you can upload Python files, Jupyter notebooks, or multi-file projects and let the AI analyze the broader context.
RubiCoder currently supports two models—MiniMax M3 and Qwen 3.7 Max—so you can switch models depending on the task. You can use it to understand unfamiliar code, identify issues, generate fixes, improve existing files, and build new features.
With RubiCoder Max, users also get unlimited messages, making it suitable for longer development and debugging sessions.
This is an early launch, and I’m actively improving the product. I’d especially love feedback on the interface, model quality, file-analysis workflow, and which integrations or programming languages you would like to see next.
Thanks for checking out RubiCoder—happy to answer any questions! 🚀
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The dual-model switch is genuinely useful, M3 for quick fixes and Qwen for the heavier refactors in my notebooks. Liked that I could drop in a whole project folder without it losing track of context.
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The model switching mid-task is genuinely useful, especially when one agent stalls on a tricky refactor and the other picks it up cleanly. Also nice that it actually reads across multiple files instead of guessing context.
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A diff view before applying changes would make this so much more useful, especially when the agent is modifying several files at once. Right now I have to manually compare what changed to make sure nothing critical got tweaked. Even a side-by-side compare with a one-click revert would be a solid addition.
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the dual model setup is honestly a smart move, but it would be great if you could set up rules so it automatically picks the right model based on the task type instead of switching manually every time
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honestly love that you can swap between MiniMax M3 and Qwen mid-session depending on the task, feels way more practical than being locked into one model for everything.
The dual-model switch is genuinely useful, M3 for quick fixes and Qwen for the heavier refactors in my notebooks. Liked that I could drop in a whole project folder without it losing track of context.
The model switching mid-task is genuinely useful, especially when one agent stalls on a tricky refactor and the other picks it up cleanly. Also nice that it actually reads across multiple files instead of guessing context.
A diff view before applying changes would make this so much more useful, especially when the agent is modifying several files at once. Right now I have to manually compare what changed to make sure nothing critical got tweaked. Even a side-by-side compare with a one-click revert would be a solid addition.
the dual model setup is honestly a smart move, but it would be great if you could set up rules so it automatically picks the right model based on the task type instead of switching manually every time
honestly love that you can swap between MiniMax M3 and Qwen mid-session depending on the task, feels way more practical than being locked into one model for everything.