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Chronicles

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GitHub updates Copilot with better and more secure code suggestions and says 46% of developers' code files across all languages were generated with Copilot

and in Java, that number jumps to 61%. https://github.blog/... @quinnypig : “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%.” Yeah, that's Java all right. @StackOverflow undoubtedly has convened a war room around their plunging market share. https://twitter.com/... @github : 🤖 An upgraded AI model ✅ Better code suggestions ⚡ Improved responsiveness 🔒 Heightened security These are just a few of the improvements to GitHub Copilot that are now available to developers. Dive in. https://github.blog/...

BleepingComputer Bill Toulas

Discussion

  • @tomeczech Jakub Tomek on x
    As a solopreneur, I can't stress enough how invaluable @GitHubCopilot has been for my work. Now it got even better. Honestly, for $10/month, I haven't found any other service that comes even close in terms of the massive ROI. #solopreneur #buildinpublic https://github.blog/...
  • @jreuben1 @jreuben1 on x
    GitHub Copilot improvements https://github.blog/... Fill-In-the-Middle (craft prompts for code suggestions with code suffixes as well as the prefix), VSCode extension logic to reduce frequency of disruptive suggestions, upgraded AI Codex model for better code synthesis
  • @igorcosta Igor Costa on x
    We made some improvements on our LLM that is the underlying for Copilot, our amazing team improved by 2x the suggestions and more safe. https://github.blog/...
  • @qorbani Reza Qorbani on x
    It took me awhile to convince myself to use #Copilot, due to security/privacy, but I'm so glad I started using it 👌 Not only saved me hours of work but also boost my productivity 🚀 I am so Excited about the new Fill-In-the-Middle (FIM) feature! 🥳 https://github.blog/...
  • @vykthur Victor Dibia on x
    Huge boost to AI assisted programming in the new @github copilot updates. - It better understands context via the “fill-in-th-middle” paradigm, - Uses a lightweight client-side model to reduce unwanted suggestion (by 4.5%) - Detects common https://github.blog/...... https://twitt…
  • @mcmire Elliot Winkler on x
    Hrmm. I really did not realize it was that popular. (Source: https://github.blog/...) https://twitter.com/...
  • @justinwgrote Justin Grote on x
    Anecdotally, I do feel copilot has gotten better with its suggestions since they updated the model. https://github.blog/...
  • @adlenesifi Adlene Sifi on x
    GitHub Copilot now has a better AI model and new capabilities including a security vulnerability filter. 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%. https://github.blog/...
  • @quinnypig @quinnypig on x
    “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%.” Yeah, that's Java all right. @StackOverflow undoubtedly has convened a war room around their plunging market share. https://twitter.co…
  • @github @github on x
    🤖 An upgraded AI model ✅ Better code suggestions ⚡ Improved responsiveness 🔒 Heightened security These are just a few of the improvements to GitHub Copilot that are now available to developers. Dive in. https://github.blog/...
  • @tarasglek Taras Glek on x
    Copilot shows that effective deployment of LLMs is only possible via extensive telemetry. Eg you better be able to measure single digits percent improvements/regressions in usability between A/B testing groups. https://github.blog/...