Matthew Kropp’s Post

❓ Always seeking improvements and efficiencies for your coding process? 👉 Take our quick questionnaire to analyse your situation and read more about how GitHub Copilot can help you achieve your goals. 🎯 🥅 Do you use AI in coding? 📢 Please comment! #AI #GithubCopilot #CodingAssistant #WriteDocumentation #CodeCompletion #ExplainCode #WriteUnitTests #FindProblemsInCode #CopilotChat

GitHub's Learnings from Building Copilot, an Enterprise LLM Application: GitHub has published an article containing the lessons they learned in building and scaling GitHub Copilot -- an enterprise application using an LLM (Large Language Model). In a post on GitHub's blog, AI product leader Shuyin Zhao describes how -- over three years -- they broke the project down into three stages - "find it", "nail it" and "scale it", and successfully launched GitHub Copilot. By Matt Saunders #DataIntelligence #DataArchitect #DataEngineer

🚀 Unlock Your Code's Potential with GitHub Copilot! 🚀 Do you like polls and questionnaires? 🖊Take our internal questionnaire and see if GitHub Copilot is the perfect AI assistant for you: 1️⃣ Did you know that according to IBM research, the average developer writes 12 lines of code per day? Do you think you will write more? – 1 point 2️⃣ Do the bellies of your fingers hurt from constantly "typing into the keyboard"? – 2 points 3️⃣ Are you tired of writing repetitive code all the time, such as unit tests, but want to deliver it? – 2 points 4️⃣ Sometimes you come across a simple task that everyone has already written, but not you, and your head hurts just thinking about it? – 2 points 5️⃣ Are you new to the project and slowly absorbing coding style? – 1 point ✔ ✔ ✔ If you scored at least 3 points, it's time to try GitHub Copilot! This unique, wonderful, and sometimes even magical AI tool can transform your coding experience. (Or explore another AI assistant, like the one from Czech-based JetBrains, which we also discuss in our blog.) 👉 Read more about how GitHub Copilot can revolutionize your coding process on our blog! Link to blog post from our Tech Lead Jiří Ludvík in the comments below. #AI #GithubCopilot #CodingAssistant #WriteDocumentation #CodeCompletion #ExplainCode #WriteUnitTests #FindProblemsInCode #CopilotChat

📢 Don't miss out on the upcoming event hosted by GitHub! Join for a three-part learning journey featuring GitHub Copilot, the world's most widely adopted AI developer tool. 🌟 Save the dates: November 30, December 7, and December 14, 2023. This highly interactive series will dive deep into the remarkable capabilities of GitHub Copilot. 🚀 Discover why GitHub Copilot is revolutionizing the way developers innovate and disrupt the status quo in Part 1 on November 30th. Explore how this AI-powered tool enhances coding experiences and boosts productivity. 🚀 In Part 2 on December 7th, practical use cases of GitHub Copilot will be explored. Witness first-hand how AI can assist development teams and accelerate projects. 🌟 The future of Copilot and its impact on collaborative development will be unveiled in Part 3 on December 14th. Prepare to be amazed by the cutting-edge advancements shaping the future of coding. 🚀 Don't miss this exceptional opportunity for growth! 🌟 #GitHubCopilot #AI #CodingRevolution #DeveloperTool https://lnkd.in/eKfq6zBr

𝗛𝗼𝘄 𝘁𝗼 𝗰𝗼𝗱𝗲 𝘄𝗶𝘁𝗵 𝗚𝗶𝘁𝗛𝘂𝗯 𝗖𝗼𝗽𝗶𝗹𝗼𝘁? A recent study by GitHub and Microsoft discovered that AI now authors 46% of new code. They also found that overall developer productivity surged by 55%, leading to more efficient coding processes. When we talk about AI-powered coding, we mainly talk about GitHub Copilot. But 𝗵𝗼𝘄 𝗚𝗶𝘁𝗛𝘂𝗯 𝗖𝗼𝗽𝗶𝗹𝗼𝘁 𝘄𝗼𝗿𝗸𝘀? The process goes in the following steps: 𝟭. 𝗦𝗲𝗰𝘂𝗿𝗲 𝗽𝗿𝗼𝗺𝗽𝘁 𝘁𝗿𝗮𝗻𝘀𝗺𝗶𝘀𝘀𝗶𝗼𝗻: Your prompts are securely sent to Copilot, ensuring data privacy. 𝟮. 𝗖𝗼𝗻𝘁𝗲𝘅𝘁𝘂𝗮𝗹 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴: Copilot analyzes the code around your cursor, the file type, and other open files to offer relevant suggestions. 𝟯. 𝗖𝗼𝗻𝘁𝗲𝗻𝘁 𝗳𝗶𝗹𝘁𝗲𝗿𝗶𝗻𝗴: It filters out personal data and inappropriate content, focusing solely on generating helpful code. 𝟰. 𝗖𝗼𝗱𝗲 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻: Based on the intent identified in your prompts, Copilot crafts code suggestions that align with your coding style and project standards. 𝟱. 𝗨𝘀𝗲𝗿 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻: Here, we can decide whether to use, tweak, or reject Copilot's suggestions. 𝟲. 𝗙𝗲𝗲𝗱𝗯𝗮𝗰𝗸 𝗹𝗼𝗼𝗽: Copilot learns from your interactions, improving its suggestions. Every time you tweak or reject its ideas, he knows from it. It employs techniques like zero-shot (asking without examples), one-shot (asking with an example), and few-shot learning (providing multiple examples) to adapt to our instructions, whether you provide examples or not. 𝟳. 𝗣𝗿𝗼𝗺𝗽𝘁 𝗵𝗶𝘀𝘁𝗼𝗿𝘆 𝗿𝗲𝘁𝗲𝗻𝘁𝗶𝗼𝗻: It remembers past prompts and interactions, making future suggestions more accurate. To Get More Freebies, Join Our Telegram Group 👇👇👇 ✅Group: t.me/MelayuTechPG ➡️➡️➡️➡️➡️➡️➡️➡️➡️➡️➡️➡️➡️ Contact: ✅DM: t.me/MelayuTech ✅Group: t.me/MelayuTechPG ✅WA: https://lnkd.in/eVxHEPCj ✅FB:https://lnkd.in/eWRV8jfa ✅LKDN:https://lnkd.in/embpsm_C 🌏 React, Comment and Share to get more updates #coding #github #GitHubCopilot #technology #AI

GitHub Copilot took center stage at this year's #GitHubUniverse, promising a revolution in software development. Sohraub Pazuki, one of our DevOps Engineers, delves into the advancements offered by Copilot's evolving capabilities in his latest blog. Read it here: https://lnkd.in/gejYhxgr #GitHub #Copilot #SoftwareDevelopment #AI #Arctiq

#Technology #Tech #Infrastructure #DataArchitecture #DataDriven #DataEngineering GitHub's Learnings from Building Copilot, an Enterprise LLM Application: GitHub has published an article containing the lessons they learned in building and scaling GitHub Copilot -- an enterprise application using an LLM (Large Language Model). In a post on GitHub's blog, AI product leader Shuyin Zhao describes how -- over three years -- they broke the project down into three stages - "find it", "nail it" and "scale it", and successfully launched GitHub Copilot. By Matt Saunders #DataIntelligence #DataArchitect #DataEngineer

GitHub execs say Copilot aims to make developers 10x more productive. Being the data-driven folks that we are, we put it to the test with Faros AI - Check out this recent post by our Field CTO Thomas Gerber here: https://lnkd.in/gRTVPhe4 #Copilot #DeveloperProductivity #EngOps #FarosAI

#Technology #Tech #Infrastructure #DataArchitecture #DataDriven #DataEngineering GitHub's Learnings from Building Copilot, an Enterprise LLM Application: GitHub has published an article containing the lessons they learned in building and scaling GitHub Copilot -- an enterprise application using an LLM (Large Language Model). In a post on GitHub's blog, AI product leader Shuyin Zhao describes how -- over three years -- they broke the project down into three stages - "find it", "nail it" and "scale it", and successfully launched GitHub Copilot. By Matt Saunders #DataIntelligence #DataArchitect #DataEngineer

Excellent analysis and findings here...