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Have you ever had this experience? You ask AI for some code, it gives you an answer, you copy and paste it, run it, get an error, and then go back and ask again. Back and forth, over and over.

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AI Agents are different. You describe the goal, and it reads files, edits them, and runs commands on its own. If it hits an error, it can see the error message, then make changes and try again.

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This is how it actually works. If the first test doesn’t pass, it figures out what went wrong, fixes it, and tries again. You don’t have to copy the error message and send it to it.

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This can now be done on campus. Uedu Code is an in-house AI Agent service built by Uedu.

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The model runs on GPUs in the campus server room. Your code, your prompts, and the project you’re working on stay on campus. They don’t go through any commercial cloud service.

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No credit card. No need to sign up for any company account. No API quota needed. All you need is a Uedu account — you can register with any email address. After you log in, create a key, and you’re ready to start.

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We also want to be clear about its limits. It runs on a few GPUs on campus, so it can only serve a small number of people at a time, and you may have to wait during peak hours. Its models are smaller than leading commercial models, so it can struggle with more complex tasks.

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But it is entirely ours. You can know what model it is, where it runs, and what it logs. You can’t do that with any commercial service.

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Uedu Code. Go to uedu.tw/code, create a key, and give it a try.