Meet Notebook Intelligence! An extension for #JupyterLab users who want to use GitHub Copilot as an AI coding assistant. https://lnkd.in/ghdUNV7a
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💡 Looking for an open-source alternative to GitHub Copilot? Read the blog post by Sherlock Xu 📖 and Meng Zhang to learn how to build an AI coding assistant using #Tabby and #BentoCloud, featuring auto code completion, code explanations, chatting…and many more! A good read for anyone seeking a self-hosted solution with full flexibility and control! Blog link: https://lnkd.in/gqCBaeMv TabbyML #OpenSource #AIAssistant #Coding #TabbyML #GitHubCopilot #BentoML
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Welcome to OpenDevin, an #opensource project aiming to replicate Devin, an #autonomous #AI #software #engineer who is capable of executing complex #engineering tasks and collaborating actively with users on software #development projects. This project aspires to replicate, enhance, and innovate upon Devin through the power of the open-source #community. #tool #generativeai #python #softwareengineering #softwaredevelopment https://lnkd.in/gpaRJfiG
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𝗘𝗻𝗵𝗮𝗻𝗰𝗲 𝘆𝗼𝘂𝗿 𝗹𝗮𝗿𝗴𝗲 𝗰𝗼𝗱𝗲𝗯𝗮𝘀𝗲 𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝘄𝗶𝘁𝗵 𝗽𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗔𝗜! I created a step-by-step guide to analyze an entire large codebase at once using the Google "Gemini 1.5 Pro" model. It has a 2-million-token context window perfect for large codebases! The guide details the process of converting entire repositories into a digestible format primed for AI-powered scrutiny. You'll learn how to apply it allowing for comprehensive examination of frontend, backend, or infrastructure and configuration files with steps both for manual analysis using Google AI Studio, as well as automating the process with Google Colab Python scripts. It's a great complement to traditional tools like Sonar. Harness the full potential of AI in your code review practices. I can help you run this on your codebase. Enjoy and share your thoughts! #AI #CodeReview #SoftwareDevelopment
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Understanding a huge codebase can be overwhelming, especially when trying to configure a new project or figure out what a specific Python function or method does. To simplify this process and enhance comprehension, I’ve developed a powerful tool for source code analysis using GenAI. Introducing my latest project: An Intelligent source code analysis tool powered by OpenAI's GPT-3.5 Turbo. 🎉 🔍 **How It Works:** 1. **Repository Input**: Users provide a GitHub repository link. 2. **Smart Learning**: The LLM is trained on the entire repository using context-aware splitting techniques. 3. **Vector Database**: ChromaDB is utilized to create a powerful and efficient vector database for quick and accurate retrieval. 4. **Interactive UI**: An intuitive chatbot interface allows users to query the model about any part of the repository, getting detailed and precise answers instantly. 🌟 **Benefits:** - Simplifies code navigation and comprehension. - Provides instant insights into the purpose and functionality of specific Python functions or methods. - Enhances productivity by saving time on code reviews and debugging. ✨ **Project Highlights:** - The model reads and understands the entire codebase, providing through explanations and context for every function and method. - The chatbot interface allows for seamless, real-time interaction with the model, making it easy to get answers on the fly. - Users can ask detailed questions about the code(from the user provided GitHub Repo), from high-level architecture to specific lines of code, and receive clear, concise explanations. - The model provides result for each and every query asked by the user about the user specific repository from GitHub - Perfect for onboarding new developers, accelerating code reviews Check out the project and see how it can revolutionize your coding experience! 🚀 GitHub Repository Link [https://lnkd.in/g5D4cQir] #AI #GenAI #OpenAI #CodeAnalysis #MachineLearning #GitHub #Coding #AItools #Productivity Please do Co-operate with the small text in the reference picture of the Project!!
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Developing software without writing a single line of code? With GenAI making strides, that idea isn’t as far-fetched as it once seemed. Have you seen those demos of AI creating the classic Snake game or generating code to visualize the importance of each word in relation to each other like in the quick brown fox example? It's a whole new level of excitement. When I first started in software development, the focus was all on mastering programming languages and algorithms. But now, it's clear that the landscape is evolving. AI can unlock a new dimension for resource optimization and even creativity. That said, I agree with my teammate Aleksandr Nasstrom: AI’s ability to “code without coding” won’t replace developers but it will definitely reshape the future of software development. The demand for professionals who can integrate AI into problem-solving or work directly with AI tools is only going to grow. Are you intrigued or skeptical (or both 🙂) about AI's growing role in software development? #AI #softwaredevelopment #technology Video credit: OpenAI https://lnkd.in/em3AyTbR
Coding with OpenAI o1
https://www.youtube.com/
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Attention developers: The future of AI programming is here! 🌟 Discover how Cloudzilla's Supercloud platform supports multiple languages, giving you the flexibility to choose the best tools for your AI projects. Beta spots are filling fast – secure yours now! #AIFuture #CloudTechnology #DeveloperTools #TechInnovation #Cloudzilla
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I recently came across this newly developed fascinating package called tidychatmodels by Albert Rapp. It provides a straightforward way to chat with different AI chatbots using R programming. With tidychatmodels, you can seamlessly interact with various chatbot vendors like openAI and mistral ai, all through a unified interface. The package's modular design, inspired by tidymodels, allows you to swap out different chatbot models effortlessly while maintaining the same workflow. Whether you're a data scientist, developer, or just curious about AI, tidychatmodels offers a convenient solution for integrating chatbots into your R projects. If you're interested in exploring the world of AI chatbots and want to streamline your interactions with them, give tidychatmodels a try! You can find it on GitHub and start chatting away with your favorite AI models today. 🤖💬 Here's the GitHub link: https://buff.ly/3WJH104 You could also take a look at my free newsletter, which regularly features tips and insights on statistics, data science, and programming in R and Python. Further details: https://buff.ly/3VghISN #package #dataanalytics #bigdata
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Humans don't dive into coding without some kind of plan. Building an understanding of the system architecture is an essential step. AI coders that use this process get better results. https://lnkd.in/e6efGeu4 #AIProgramming #AppMapNavie #SWEbench
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🌟 Excited to Share My Latest AI-Powered Code Fixing Extension! 🌟 I’m thrilled to showcase a new project I’ve been working on—a powerful AI extension that helps developers fix code errors in just a few clicks. 🚀 💻 What It Does: This extension analyzes your code, identifies errors, and provides quick-fixes—all powered by AI. Whether you're a seasoned developer or just getting started, this tool can save you time and frustration. 🔧 See It in Action: In my latest video, I demonstrate how the AI extension works by fixing some Python code errors. I also compare the original and corrected code to show how effective the tool is. Check it out! 📂 Want to Contribute? I’m always looking for feedback and collaborators! If you’re interested in contributing to the project, feel free to check out the GitHub repository below: 🔗 GitHub Repo: https://lnkd.in/ddQvCSxZ I’d love to hear your thoughts on this tool and any suggestions for improvement. Let’s push the boundaries of what AI can do in software development together! #AI #MachineLearning #Coding #Python #GitHub #DeveloperTools #OpenSource #TechInnovation
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This will make OpenAI's data set for coding even better. Coding is going to look very different in 5 years. #programming #developer #developers #softwaresolutions #stack #coding
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Nice