Show HN: MutableAI (YC W22) – Copilot Alternative for VS Code
75 points| oshams | 3 years ago |marketplace.visualstudio.com | reply
Devs love Copilot, but autocomplete is just one of many ways that AI should make programming easier. We’re taking a more comprehensive approach to developer tooling that bundles Copilot-like autocomplete with documentation, custom AI instruction, and some early refactoring capabilities (Python only) in one extension. We currently support Javascript/Typescript, Python, Go, and Rust, with more coming soon. Overview (w/ bg music) [1].
In addition to autocomplete, which can be triggered either automatically or manually, we can add documentation to all your methods in a Rust file, or you can ask the AI to insert missing imports in a Python file. In some cases we can get really sophisticated and ask it to program a game from scratch or update your REST interface to accommodate a new data payload.
We use a combination of AI (e.g. OpenAI codex) and AST transformation / metaprogramming techniques on the backend. We are also working on providing other backend solutions for varying needs, including on-prem deployments.
We soft launched our product with a small cohort of users and want to welcome more of you to our pilot beta. We hope you enjoy the product and look forward to learning from you.
We are currently in an extended free trial phase for early adopters and plan to keep a free tier for solo devs and open source contributors. We also offer a generous discount to startups. For enterprise please reach out to [email protected]
We want to thank our very earliest users and invite the HN community to try the product installing it via the VS Code marketplace [2]. We're looking forward to hearing your comments and feedback, or feature suggestions!
[1] https://www.youtube.com/watch?v=x-gKEbgyzCg
[2] https://marketplace.visualstudio.com/items?itemName=mutable-...
[+] [-] shekhar101|3 years ago|reply
Feedback:
1. I like the refractoring suggestions. Really cool and had some awesome suggestions right off the bat.
2. I tried to give instructions to write a method and it simply failed. I tried something like: "write a method to parse json object and parse non-zero values from it". All it did was add a method called parseJson(json) with pass as body :( I tried a few different variations to get a method written by mutable but got nothing except new lines.
Anyway, wish you the success. I would love to see more players in this space. I feel a strong need for this kind of AI that can supplement my day to day coding .
[+] [-] oshams|3 years ago|reply
[+] [-] tecoholic|3 years ago|reply
One thing I have noticed with Copilot when working on large codebases is that the suggestions are that useful. For generic code it is fine, but when trying to write code that depends on ~100% internal modules, it was pretty useless and generated a lot of noise that I rarely used it and finally uninstalled.
I have been wondering if taking a hybrid approach of creating a mini model of the entire project locally and using it with Codex as a complementary source would greatly improve the quality of suggestions. I don't know enough about all the existing tools, so this might be something already implemented. Just wanted to share this with someone who worked in this space
Congratulations on the launch.
[+] [-] oshams|3 years ago|reply
[+] [-] pleonasticity|3 years ago|reply
[+] [-] oshams|3 years ago|reply
[+] [-] jedwhite|3 years ago|reply
[+] [-] oshams|3 years ago|reply
[+] [-] nextos|3 years ago|reply
[1] https://www.amazon.com/dp/013507245X
[+] [-] ilrwbwrkhv|3 years ago|reply
[+] [-] estevaoam|3 years ago|reply
[+] [-] bratao|3 years ago|reply
[+] [-] oshams|3 years ago|reply
[+] [-] ShepherdKing|3 years ago|reply
1) Is there any Copilot alternative that is open source, and,
2) Is there any Copilot alternative that works with Vim?
[+] [-] woojoo666|3 years ago|reply
In fact one was posted yesterday!
https://news.ycombinator.com/item?id=32327711
[+] [-] rsstack|3 years ago|reply
[+] [-] exyi|3 years ago|reply
[+] [-] oshams|3 years ago|reply
[+] [-] planetis|3 years ago|reply
[+] [-] bluelightning2k|3 years ago|reply
What makes it interesting is everyone knows there will be thousands. So the people who decide to continue anyway will presumably have some significant ideas for post-processing.
It's interesting in a game theory sense.
Yes... many of these will be the obvious (generate 5 suggestions and rank them with a different neural net, similar to what Google is doing internally, etc.)
But a small portion will do interesting things. (I know my personal daydreaming session on the topic ended with many pages of possible approaches.)
There are MANY novel applications or approaches possible beyond simply "wrap Codex, add stack-specific context to the prompt, re-rank with secondary model".
I think some of the wrappers will actually succeed. But there will be so many (I predict it being a popular course project for CS classes etc).
[+] [-] unknown|3 years ago|reply
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[+] [-] osoderlund|3 years ago|reply
[+] [-] mrkhalil|3 years ago|reply