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Same experience, but with TypeScript and Go. They gave me a 60-day trial (IIRC), I used it for two days, disabled it for the next 58 days, and after that removed it from the editor.



I get really good results with TypeScript and Python. Like it knows exactly what I want to do, I feel like I think exactly as Copilot does. Maybe I am the statistical average...

Makes me wonder if people who don't like Copilot output will not like my natural output as well.


Feel free not to share, I don’t want you to get dogpiled, but if you would humor me,

Could you share any code on GitHub (or pastebin or whatever) that you wrote with the help of AI?

Or could you share what kind of experience you have with programming (how many years, what domain you work in, etc)


The projects I do are mostly frontend in React and backend with TypeScript/Node.js.

I have around 10+ years of professional experience although I did on/off hobby coding before that since 15 years ago.

It's mostly API endpoints, calling a database, third party APIs, data transformation, aggregation type of things.

Then either UI according to what designers provide or whatever I want to do for my side projects.

I think it's of course wildly more productive multiplier for side projects, since then it's mostly about typing things out since you know exactly what you want to do and being a little off doesn't matter.

I don't want to share any of my actual code right now, but I think one example for example is a React component that needs to fetch some sort of data, e.g. using @tanstack/react-query, then it does loading handling, error handling boilerplate things for me, which some of I change to what I specifically need for that situation, but I need very few keystrokes myself to get the initial boilerplate out that I then edit, and during edits it of course also gives me decent suggestions. And it will create the component prop types based on the args I pass to the component etc.

Then with backend, it's really good at data transformations. E.g. combining different datasets, reducing etc.

How well it picks the correct libraries and patterns depends on the project and I think how much I've navigated around, I'm not fully sure how the context is exactly passed, so usually I will feel it out and adapt code where necessary.


Yes I find copilot is nice for things like tansack query. It’s like better snippets.

At my job we have this pretty clean SOA type architecture backed by a mongo db. Copilot has trouble building the more complicated, domain specific queries on its own, I’ve found.

I do occasionally ask chatgpt how to write a certain query in a general case and apply that to what I’m writing. I also don’t really like mongosh’s docs.


Hi there - I'm a PM at MongoDB that works on the MongoDB Shell. I'm curious to hear your thoughts on the issues you're currently facing with mongosh docs and how we could make them better for you. Thanks for taking the time to leave feedback!




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