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Looks very cool. I am also working heavily in this space (using AI to help learning). One minor point: In your demo, you state that "Today, almost 50% of code

by pugio 3y ago

Looks very cool. I am also working heavily in this space (using AI to help learning). One minor point: In your demo, you state that "Today, almost 50% of code is written by AI, so why shouldn't you learn how to code with AI?" Citation? I thought this might be true of developers using Copilot (based on their recent publications), but even that seems a bit of a stretch. I guess you could claim this because it's so easy to generate LOTS of code with an AI model. How much of that code is used, though? Really 50% of ALL code written now?

plondon514 3y ago
Thanks for checking it out! "Today, GitHub Copilot is behind an average of 46 percent of a developers' code across all programming languages -- and in Java, that number jumps to 61 percent." - https://visualstudiomagazine.com/articles/2023/02/15/copilot-upgrade.aspx https://visualstudiomagazine.com/articles/2023/02/15/copilot...
- hallway_monitor 3y ago
  This tracks since 90% of all Java code is boilerplate.
- twic 3y ago
  That post just cites an original [1] from someone at GitHub which says: > Case in point: When we first launched GitHub Copilot for Individuals in June 2022, more than 27% of developers’ code files on average were generated by GitHub Copilot. Today, GitHub Copilot is behind an average of 46% of a developers’ code across all programming languages—and in Java, that number jumps to 61%. I'm not sure what this means. GitHub does not have the ability to measure Copilot usage across all code written anywhere in the world, so surely it can't be that. Do they mean code generated by Copilot as a fraction of code produced by someone using an IDE with the Copilot plug-in? That number still seems high to me. [1] https://github.blog/2023-02-14-github-copilot-now-has-a-better-ai-model-and-new-capabilities/ https://github.blog/2023-02-14-github-copilot-now-has-a-bett...
  - swores 3y ago
    Even if they were somehow measuring all code created in the world, considering it's even easier than copy & pasting general code to ask AI for shitloads of code without even bothering to review it, so code created would be quite a poor metric compared to code put into production at least once.
  - bcrosby95 3y ago
    I guess it depends on how they calculate the percent. I assume it's by character count. So it wouldn't surprise me. For repetitive code it's pretty good. And even with non repetitive code, once you start typing a bit it is good at finishing it. Especially in a verbose language like Java. How much of copilot use is something that autocomplete would have handled anyways?

by pugio 3y ago

plondon514 3y ago

Thanks for checking it out! "Today, GitHub Copilot is behind an average of 46 percent of a developers' code across all programming languages -- and in Java, that number jumps to 61 percent." - https://visualstudiomagazine.com/articles/2023/02/15/copilot-upgrade.aspx https://visualstudiomagazine.com/articles/2023/02/15/copilot...

hallway_monitor 3y ago
This tracks since 90% of all Java code is boilerplate.
twic 3y ago
That post just cites an original [1] from someone at GitHub which says: > Case in point: When we first launched GitHub Copilot for Individuals in June 2022, more than 27% of developers’ code files on average were generated by GitHub Copilot. Today, GitHub Copilot is behind an average of 46% of a developers’ code across all programming languages—and in Java, that number jumps to 61%. I'm not sure what this means. GitHub does not have the ability to measure Copilot usage across all code written anywhere in the world, so surely it can't be that. Do they mean code generated by Copilot as a fraction of code produced by someone using an IDE with the Copilot plug-in? That number still seems high to me. [1] https://github.blog/2023-02-14-github-copilot-now-has-a-better-ai-model-and-new-capabilities/ https://github.blog/2023-02-14-github-copilot-now-has-a-bett...
- swores 3y ago
  Even if they were somehow measuring all code created in the world, considering it's even easier than copy & pasting general code to ask AI for shitloads of code without even bothering to review it, so code created would be quite a poor metric compared to code put into production at least once.
- bcrosby95 3y ago
  I guess it depends on how they calculate the percent. I assume it's by character count. So it wouldn't surprise me. For repetitive code it's pretty good. And even with non repetitive code, once you start typing a bit it is good at finishing it. Especially in a verbose language like Java. How much of copilot use is something that autocomplete would have handled anyways?