If you are a programmer using an AI LLM to help you code, ar...

It calls the OpenAI o1-mini to prefil the cell

I no longer need to browse the Internet to find out the certain Trino keywords, or how to aggregate a pandas DataFrame. It also works on wherever you have Jupyter Notebook. I wrote the Chrome extension, the data is only exposed to OpenAI and probably Google.

Even though the interface looks simple, it was not easy to make all of the features work at once.

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Ultimately, you need to decide how much do you need to learn. It is okay to delegate to AI if you don’t intend to learn the things you don’t need to learn.

First you write in human language what you want to do

Yeah I heavily depended on AI to make this Chrome extension (with Cursor). I had no experience in building a Chrome extension before this. The code is here

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I recently used AI to make this Chrome extension. The chrome extension works like this.

However, if there is AI that is able to make this Chrome extension for me end-to-end with testing and minimal feedback provided, using AI here would have saved me time. This is not yet the case.

When I solved one issue (usually by moving code from one place to another), it usually breaks another issue. I have been stuck in these cycles many times. Moreover, testing Chrome extension is a manual and tedious process that wasn’t automated. I think I spent more time using AI to make this extension than if I had learnt how Chrome extensions are being designed and make informed edits.

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I binded Cmd+K to initialize generation

I want the extension to send a desktop notification when it is complete

I want the extension to be activated on Cmd+K

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I want the extension to read the storage for the API key

I want the extension to be activated when the extension icon is clicked

I want the extension to bring the user to the option page if the API key is missing

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I want to minimize the requested permissions where possible

You also get a notification on how much it costs.

I want the extension to read and write content of the current page, specifically the `Jupyter.notebook` object