On-device AI development assistant for your entire workflow
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Kevin William David

Pieces Copilot - The AI coding sidekick that understands your workflow

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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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Jerry Zhang
Very good idea & your logo looks very much like an earπŸ‘‚
Mason Williams
Maker
Hey @hacksman πŸ‘‹ Thank you for your support!
Hitesh Choudhary
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 πŸ”₯
Mason Williams
Maker
Hey @hiteshchoudhary πŸ‘‹ Great to see you again and thank you for your support!
Allen Lopes
Congratulations on the launch! #chaincode #hiteshchoudhary
Mason Williams
Maker
Hey @allen_lopes πŸ‘‹ Thank you for your support!
Abhishek Singh
Chai and code here β˜•β˜•
Mason Williams
Maker
Hey @new_user__353202360abfead4d6b3416 πŸ‘‹ Thank you for your support!
Abhishek Singh
Chai and code here β˜•
WSC
Pieces is a great Application that utilizes AI, seamless integration and works in conjunction with your work. Super simple, clean and easy to use. I’ve had the pleasure of talking to them about their journey, features and future idea set. Love it and look forward to using it more in my work!
Mason Williams
Maker
Hey @wsconsulting πŸ‘‹ Thank you for your support and loved watching the podcast you did with @cole_at_pieces πŸ‘
Cole Stark
Maker
@wsconsulting @masnwilliams yes that was a blast! Thanks for having me on :)
Maheshpal Rathore
It seems like a game-changer for developers.
Mason Williams
Maker
Hey @mpal9191 πŸ‘‹ Thank you for your support!
Maheshpal Rathore
@masnwilliams Most welcome
Bayazid Malikov
Cool! What is your context limit for the user data?
Mason Williams
Maker
Hey @bayazid_malikov πŸ‘‹ Thank you for the support! As far as context limits go, locally we use algorithmic snippetization and summarization to maximize 8k contexts which scales up to 128k for upcoming local and cloud models. The users are also able to select which messages the LLM should specifically reference if things are getting off-course.
Shahmir Faisal
Congrats on the launch Tsavo!
Mason Williams
Maker
Hey @shahmir_faisal πŸ‘‹ Thank you for your support!
PL Bompard
This sounds like a very useful tool! If it really works as advertised, it seems so powerful! Will need to take some time to test it very soon. Congrats on the launch!
Mason Williams
Maker
Hey @plbompard πŸ‘‹ Thank you for the support! We'd love to hear back from you after you give it a good test πŸ‘ I think you'll find that it is next level, our Copilot blows my mind every single day!
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