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Pieces Copilot — The AI coding sidekick that understands your workflow
Pieces Copilot helps you solve your most complex coding problems through a contextual understanding of your workflow. Leverage local, cloud and custom LLMs within our native desktop app and integrations for a secure, tailored, and productive experience.
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@tsavo_at_pieces Pieces Copilot sounds impressive for streamlining coding workflows with its AI assistant and personalized suggestions. Love the cross-platform support and focus on security with on-device data processing. Curious to know, does it support a wide range of coding languages effectively? Excited about its potential impact!
@tsavo_at_pieces how are you syncing it between the devices when it also says that "data stays on-device", not sure about that.
Otherwise, it looks like a great product, I will definitely give it a try.
Great find @kevin as always!
@tsavo_at_pieces @sichen_shao Thank you so much for the support! In terms of auto-enrichment and language classifications, we support around 50 coding languages.
@tsavo_at_pieces @kevin @arnav1712 we do not have cross-device sync yet! We're still working on that feature. As of now the only way data can be shared is through manual backup and sync, sharing to GitHub Gists, or creating shareable links for individual snippets.
Hey hey, all!
Really appreciate the the support and insights here 🙏
Definitely check out our YouTube channel and Discord Community for more details on all things considered!
youtube.com/@getpieces
discord.com/getpieces
We're so excited for this second Phase i.e. the Pieces Copilot finally going mainstream... also can't wait for the third Phase i.e. the Pieces Feed hitting everyones workflow in Q1!
Definitely give pieces a go, try out the extensions and let us know thoughts :)
Thank you for being on this journey with us 🙌
Congratulations on the launch! 🎉
This is an exciting and challenging idea brought to life and I'm sure this is going to save lots of time and efforts for developers in building robust applications without sacrificing their peace. (You could consider renaming it to Peaces Copilot) as it will give a peace of mind to those devs! 😅
@moingshaikh Thank you for your comment! Not sure if we adopt the new name, but we're always open for feedback 😊
@tsavo_at_pieces Impressive work, Tsavo! 👏 The personalized results and multi-modal inputs of Pieces Copilot seem like game-changers for developers. What challenges did you face in bringing such a comprehensive productivity tool to life?
Hey @abhilash_chowdhary 👋
Thank you for your support! Let us know how your experience trying Pieces is!
It's basically a snippet taker for code, that helps you search on it using LLM. I thought it was automatically inspecting my codebase like CoPilot.
@hasan_ui_design Thanx for the support 💪
Happy to hear your thoughts on the Pieces Copilot Hasan🙌
Pieces is awesome - our team has been using it for months. Makes managing the entire dev workflow so much easier, for both ICs and non-dev managers/collaborators. Super clean + powerful, really excited to dig into the update.
Hey @kai_mckinney 👋
Thank you for your support! We have a ton of awesome features planned for the early 2024 roadmap as well so stay tuned!
Hey @ritavdas 👋
Thanks for the support! We are focusing on developing simply because of the ecosystem we have built with Pieces for Developers.
You will see over the next year, we will expand to different sectors like Pieces for Designers and so on, but developers are the primary users right now.
That said, we do have non-developer users who enjoy our products as well so it goes both ways 👍
@alex_gavril1 Appreciate the support Alex🙏 Feel free to try it out and let us know how you find Pieces Copilot and any places where we can improve🙌
Congrats on the launch of Pieces Copilot! I'm excited to see how it can help make my coding projects easier and more secure.
@rana_phool Try it out and find out 😎 The ways it can help you are plenty, tell us your favorite!
@mranand Great to hear you benefit from the on-device models 😊
What's your most common use case for Pieces Copilot?
@kuba_at_pieces Numerous, easily shareable code snippets can be directly embedded into technical blogs. Integration with VScode and a Chrome extension enhances the learning experience by saving relevant codes and adding extra information by the help of AI explananion.
Hey @campak 👋
We don't have any generated in-line code completion, however, we do have code completion using your saved snippets. So if you have a class template saved for example, you can use code completion in VS Code to fill the rest of that class out.
That's awesome that you heard of us from a conference! Was there a talk that mentioned us or how did Pieces come up? (If you don't mind me asking)
@masnwilliams Nice, good to know! Someone who gave a talk mentioned that it was one of their favorite products to help them in their dev journey :)
@campak Oh that’s awesome! If you could remember who it was, I’d love to reach out to them but no worries if you can’t!
Enjoy the holidays!
@masnwilliams since it was a lightning talk, unfortunately I do not have a list of those names
Merry Christmas, though!
@radu_tudosescu So glad you like it! Feel free to share your most common use case for Pieces Copilot 😁
Such a great tool for developers. This is the future of AI tools for development. A tool that can understand context of repo, help me to understand code base and can give me suggestions, all Locally 🔥
Hey @hiteshchoudhary 👋
Great to see you again and thank you for your support!
@sentry_co Glad you like this tech! There are couple differences, but the one I like the most is we let you use a model of choice, so you're not stuck with just one model, and also we let you use air-gapped on-device models so your code and questions don't leave your machine if you choose them not to :D
Also we keep working on supporting more and more models, so the selection will only grow!
@kuba_at_pieces Nice! Im no expert but I guess model memory is important when understanding more of the codebase? So the more context memory the model has the better it is to understand the codebase? What is the current highest context you support?
@sentry_co I'm not positive I fully understand your question. In terms of system memory, each model requires different amount of it. The more context you add, the more system memory you'll need. In terms of how big a context scope can be, I don't believe we set any limit on that. You can define what needs to be in the context of the conversation you're having with Pieces Copilot and the only limit will be your hardware.
@kuba_at_pieces Its more my experience the last few months. If you give the model too much contextual data it trottles it in a way.
@sentry_co We try to optimize our queries and context management to our best abilities. We can always hope for a release of an LLM project that is deeply optimized for tons of context and won't stutter under any load ;)
Pieces for Developers