Centizen, Inc.’s Post

Great breakdown from Hiten Shah here on AI's impact. One thing I want to call out in particular: "the study found that developers across all skill levels saw meaningful productivity gains from Copilot, *with junior devs benefiting the most."* The LEAST skilled and experienced are benefiting THE MOST from AI. 💫 I've seen this in multiple studies across fields, and it really needs shouted from the rooftops for all the AI Doomers out there worried about job loss. 🔢 Do the math: If you hire junior people...and they benefit the most from AI...then they're going to be MORE valuable for you to hire and give AI, not say "oh I shouldn't hire them."

🤖 Microsoft's Open-Source #AutoDev: AI Agents Automate Software Development: ⌨️ The world of coding is changing! 💻 AI assistants like GitHub Copilot are great, but they can't do everything. This is where AutoDev comes in. 🚀   AutoDev goes beyond code snippets and offers a complete development toolkit: 🧰  ✨ Autonomy You Can Trust: Define complex software goals and let AutoDev's AI agents handle the rest.  💪 Full-Stack Powerhouse: From building and testing to Git operations, AutoDev tackles diverse tasks within your codebase.  📚 Context is King: AutoDev agents have access to everything they need for a comprehensive understanding of your project.  🔒 Secure Development Environment: Docker containers 🐳 and user-defined guardrails keep your development safe and private.   But wait, there's more! AutoDev boasts these key features: ✨ 💬 Conversation Manager: Track and manage all interactions between you and your AI teammates, ensuring clear communication and project visibility.  ⚙️ Customizable Tools Library: Access a vast library of pre-built tools to automate specific coding and software engineering tasks, saving you valuable time.  📆 Agent Scheduler: Coordinate your AI agents! Schedule them to work collaboratively towards a common objective, streamlining your development workflow.  🔬 Evaluation Environment: Seamlessly execute code and run tests directly within AutoDev, eliminating the need for context switching.   Under the Hood of AutoDev: 🕰️ Imagine you're the conductor 🎻 of an AI development orchestra! Here's how AutoDev brings your coding vision to life: 🎯 Define Your Goal: You tell AutoDev what you want to achieve. 💬 Conversation Starts: The Conversation Manager sets the stage and gathers any necessary details. 🤖 Agent Teamwork: The Agent Scheduler assigns the right AI agents for the job and coordinates their collaboration. Agents use the Conversation Manager to communicate their actions. ⚒️ Tools at the Ready: The Tools Library provides a vast arsenal of pre-built actions for the agents to execute on your codebase. 🔒 Secure Execution: All actions happen within a secure Docker container 🐳, protecting your code. 📡 Results Delivered: The Conversation Manager relays the agents' progress and final output, keeping you informed. ♾️ Repeat Until Success: This iterative process continues until your development objective is achieved. Results Speak for Themselves: 💯 ✅ 91.5% Pass@1 for Code Generation 💻 ✅ 87.8% Pass@1 for Test Generation   AutoDev empowers you to focus on the big picture while your AI teammate handles the heavy lifting. Ready to level up your development game? 🚀   #artificialintelligence #softwaredevelopment #automation #github #AI #coding

A recent study on GitHub Copilot's effect on developer productivity has significant implications for the future of software development. The headline is clear: AI pair-programming is going to reshape the way code gets written. The study found that developers across all skill levels saw meaningful productivity gains from Copilot, with junior devs benefiting the most. On average, over a quarter of the AI suggestions were accepted, and this alignment was a strong predictor of perceived productivity. That's a staggering hit rate for any tool. But here's the kicker: the real value isn't just in suggesting perfect code. Developers found the AI useful even when imperfect, using it as a launchpad for their own solutions. It's less about automation and more about augmentation - a back-and-forth between human and machine to reach the best outcome. The study also revealed how developers rely more on the AI during non-peak hours, like weekends or late nights. The acceptance rate jumped to nearly 24% in those scenarios, versus only 21% during the workday. This has huge implications for remote and async work, letting developers stay in flow even when they're not at their best. When I zoom out, it's obvious that AI pair-programming marks a tectonic shift in software development. We're looking at a future where every developer has a brilliant co-pilot that never sleeps, never gets tired, and has instant recall of every line of code ever written. It won't replace human developers, but it will elevate their work in ways we're only starting to imagine. For founders and tech leaders, the writing is on the wall. Embracing AI pair-programming won't be optional - it will be table stakes for attracting and retaining top talent. Companies that embrace this trend will have a significant advantage in attracting top developer talent. But beyond just productivity metrics, I believe AI pair-programming will fundamentally change the developer experience. Imagine a world where software development feels more like a creative conversation than a solo slog. Picture yourself in flow, bouncing ideas off your ever-ready AI partner, iterating and improving solutions in real-time. Visualize spending less time on the tedious parts of coding and more on the high-level problem-solving you love. That's the promise of this technology - not just more code, but more meaning in the code you write. That's a world I want to live in. Clearly, the age of the AI co-pilot is here, and it's going to be one wild ride into the future. I can't wait to see the incredible things developers will dream up and ship when they've got tools like Copilot on their side. The future of software development is collaborative, proactive, and AI-powered - and it's going to be a marvel to behold.

GitHub Copilot Workspace: AI-Powered Tool to Initiate and Complete Programming Projects: GitHub has unveiled a new service called GitHub Copilot Workspace that leverages artificial intelligence to streamline the process for engineers and developers to initiate and complete programming projects. Initially, the service will be accessible to a select group of developers, but it is slated to be integrated into the GitHub Copilot code completion platform, powered by the GPT-4 model, following the conclusion of the pilot phase. According to a GitHub blog post, developers will be able to instruct Copilot Workspace using natural language to describe their project goals. The tool will then generate suggestions on how to initiate the project, providing a step-by-step breakdown. Users can refine these suggestions, and once satisfied, they can execute the code (or even utilize the Copilot virtual assistant for further code completion) to bring their project to fruition. Key Features: Natural Language Initiation: Developers can describe their project objectives in plain language, rather than resorting to complex coding commands. AI-Powered Guidance: Copilot Workspace utilizes AI to generate suggestions for project initiation, providing a structured roadmap for development. Step-by-Step Breakdown: The tool presents suggestions in a step-by-step format, ensuring clarity and ease of implementation. User Refinement: Developers retain full control over the project, with the ability to modify and refine Copilot Workspace's suggestions. Seamless Code Completion: Once satisfied with the suggestions, users can seamlessly execute the code or leverage Copilot's virtual assistant for further completion. Overall Impact: GitHub Copilot Workspace aims to revolutionize the programming workflow by empowering developers to effortlessly initiate and complete projects using natural language descriptions and AI-powered guidance. This tool has the potential to significantly reduce the time and effort required for project initiation, enabling developers to focus on more creative and strategic aspects of software development. #github #ai #Microsoft #programming #startup #project #product_management #productive #python

🚀 Exciting Times for Developers: GitHub Copilot Workspace Unleashed! 🚀 🔍 Remember Devin AI? A few years back, it was hailed as the groundbreaking software engineer of the future. But as it turns out, the hype didn’t quite match reality. Recent revelations exposed it, leaving many sceptical about AI’s role in software development. 🤖 Devin’s Rise and Fall: - Scott Wu, CEO of Cognition Labs, had passionately advocated for Devin’s abilities, positioning it as a potential replacement for human software engineers. However, a detailed video analysis revealed Devin’s struggles with basic tasks on freelancing platforms. - The dream of a fully autonomous AI software engineer seemed too good to be true. 🌟 Enter GitHub Copilot Workspace: - Fast forward to today, and we have a new contender: GitHub Copilot Workspace. It’s not just an autocomplete tool, it’s a natural language developer environment that empowers developers in a complete feature lifecycle. idea -> planning -> specification -> code -> testing. - Copilot Workspace leverages different Copilot-powered agents, allowing you to brainstorm, plan, build, test, and run code—all in natural language. #GitHubCopilot #AI #SoftwareDevelopment #DeveloperTools Checkout the article about copilot workspace https://lnkd.in/gQuf6-yZ

Exploring AI-Enhanced Development Tools -The New Frontier in Programming    GitHub, the worlds largest source code host, has introduced the GitHub Copilot Workspace, enhancing its existing tools by allowing programmers to manage their projects entirely in natural language. This launch is part of a broader trend in AI-powered developer tools that aim to increase productivity and reduce errors.     Key players in this field include:  Codeium: Known for its advanced autocomplete feature, Codeium tailors code suggestions to fit individual project needs.  Replit GhostWriter: This feature in Replit's online editor helps complete code in real-time.  Amazon CodeWhisperer: It offers real-time coding suggestions using a vast database of code, focusing on speed and security.  CodePal & Cody by Sourcegraph: These tools range from generating code from text (CodePal) to automated code reviews (Cody).  Tabnine & MutableAI: Tabnine provides cross-platform code completions, while MutableAI transforms designs into functional websites.  AskCodi & AI2sql: AskCodi assists with coding by providing insights and auto-tests, whereas AI2sql converts natural language into SQL.    These AI tools are redefining standards in programming environments.     Are you utilizing any AI tools in your development projects? Let’s explore how AI is reshaping our workflows and capabilities.    At Audley Consulting Group, we specialize in developing AI solutions that augment productivity, efficiency, and quality across various operational facets. Link to read more: https://lnkd.in/eqdAxSNi   #AI #programming #GitHub #developer_tools #technology #innovation #codeium #tabnine #mutableai #askcodi #codewhisperer #gov #govai 

English text is as follows Microsoftが先日公開した「AutoDev」に関する論文。先日投稿したDevin同様、自動でAgentがシステム開発を行うというものです。かなり近い将来、この機能をGithub Copilot、あるいはVS Codeに組み込むでしょう。あるいはDevinを買ってしまうかもしれません。いずれにしても、プログラマが手でプログラムを書く時代はもうすぐ終わり、AIと共創しながらシステム開発の生産性をあげていくのがエンジニアの仕事になりそうです。あとは、バックエンド処理や非機能要件の実装、既存システムのエンハンスやメンテは苦手じゃないかと思うので、そのあたりがITエンジニアの残された仕事になっていくんじゃないかと思います。 OMG… Microsoft published this paper and it’s about the fully autonomous system development agent like Devin. I guess MS will launch the same service as Devin or buy Devin. Then integrate it with Github or VS Code. The future style of system development will be like PdM just communicate with chat and AutDev can make the system automatically. This is not that far in the future. The paper "AutoDev: Automated AI-Driven Development" proposes a novel AI-driven software development framework that significantly enhances the capabilities of current AI assistants in integrated development environments (IDEs). Unlike conventional tools, which primarily offer code snippet suggestions and file manipulation, AutoDev introduces autonomous AI agents capable of performing a comprehensive range of software engineering tasks. These tasks encompass file editing, retrieval, build processes, execution, testing, and git operations, extending beyond simple code suggestions to include deeper, context-aware actions within the software development lifecycle. AutoDev is distinguished by its autonomous planning and execution of complex engineering tasks, enabled by defining software engineering objectives that AI agents are tasked with achieving. This is facilitated through access to files, compiler output, build and testing logs, static analysis tools, and more, allowing for a fully automated task execution with an in-depth understanding of the necessary contextual information. Additionally, AutoDev emphasizes security and privacy, operating within Docker containers to ensure a secure development environment while allowing users to specify permitted or restricted commands. Empirical evaluations of AutoDev on the HumanEval dataset demonstrate its effectiveness, with results showing 91.5% and 87.8% of Pass@1 rates for code generation and test generation, respectively. These outcomes not only highlight AutoDev's capability in automating software engineering tasks but also its ability to maintain a secure, user-controlled development environment. AutoDev's framework and its empirical results represent a significant step forward in AI-driven software development, offering an innovative solution that bridges the gap between the current capabilities of AI coding assistants and the complex, multifaceted nature of software engineering tasks. #AutoDev #AI #生成AI #ソフトウェア自動化 #AI #GenerativeAI #SoftwareAutomation

10 Powerful AI Tools to Supercharge Your Development Workflow AI is rapidly transforming the software development landscape, empowering developers to be more efficient and productive. Here are 10 incredible AI tools that can take your coding game to the next level: 1- Tabnine (Code Completion): This AI assistant predicts your next line of code, suggesting snippets, functions, and even entire classes, saving you time and keystrokes across various languages (especially JavaScript and Python). 2- Amazon CodeWhisperer (Code Generation & Security): Working directly in your IDE, CodeWhisperer generates code based on your existing code and comments. It also scans for vulnerabilities, identifying potential security issues and suggesting fixes. 3- Stepsize (AI-powered Debugging): Struggling with bugs? Stepsize uses AI to pinpoint and fix bugs in your code, analyzing new and existing code, reviews, and even production issues. It also helps identify the root cause, saving you hours of debugging frustration. 4- Cody (Advanced Code Assistant): This comprehensive AI assistant provides code completion, refactoring suggestions, and real-time error detection. It integrates seamlessly with popular IDEs, making it a one-stop shop for enhanced development. 5- Codium (Test-Writing Assistant): Let Codium take the burden off writing unit tests. Analyze your code, and Codium intelligently suggests relevant tests, reducing manual effort and ensuring better code coverage. 6- Copilot (Code Generation by GitHub & OpenAI): This powerful tool by GitHub and OpenAI leverages natural language to generate code, translate languages, and write different kinds of creative content based on your instructions. (Limited availability at the moment) 7- Kite (Context-aware Code Completion): Kite analyzes your code and surrounding context to offer highly relevant code completions, documentation, and API references, keeping you focused and in the flow state. 8- DeepCode (Static Code Analysis): DeepCode leverages AI for static code analysis, identifying potential security vulnerabilities, code smells, and bugs. It integrates with popular CI/CD pipelines for automated code reviews. 9- Mullvad VPN (Privacy-focused Development): While not strictly an AI tool, a secure development environment is crucial. Mullvad VPN offers a great option for developers who prioritize privacy and data security. 10- GitHub Copilot Labs (Experimenting with the Future): Stay on the cutting edge with GitHub Copilot Labs, where you can experiment with new features and functionalities being developed for the popular Copilot tool. These are just a few of the many AI tools available to developers today. What are your favorite AI tools that boost your development workflow? Share your experience in the comments! #AI #DeveloperTools #Programming #MachineLearning

🚀 Empowering Developers with AI: Unleashing Potential with GitHub Copilot, Codium AI, Microsoft Copilot, and More 🚀 In the dynamic world of software development, AI tools are transforming the way we code, boosting efficiency, and igniting innovation. Leading the charge are GitHub Copilot, Codium AI, and Microsoft Copilot, each offering unique capabilities that redefine the developer experience. Let's dive into how these tools are shaping the future of coding and explore the broader ecosystem of AI-powered assistants. 🔍 GitHub Copilot: Your AI Pair Programmer GitHub Copilot, born from a collaboration between GitHub and OpenAI, acts as an AI-driven partner, providing code suggestions from simple lines to complex blocks. It taps into a vast database of public code to offer contextually relevant recommendations, adapting to your coding style for a truly personalized experience. Copilot is not just a tool; it's a learning partner, helping you navigate through coding challenges with ease. 🌟 Codium AI: Streamlining Code Generation Codium AI emerges as a powerful ally for developers, offering context-aware code suggestions across various languages and frameworks. Its aim is to cut down development time significantly by providing precise, intelligent solutions to coding problems. Whether it's debugging or exploring innovative approaches, Codium AI stands ready to streamline the coding process and enhance productivity. ✨ Microsoft Copilot: The All-in-One Developer's Assistant Microsoft Copilot takes the concept of AI-assisted development a step further by integrating seamlessly with the developer's ecosystem, offering not just code suggestions but also documentation assistance, code reviews, and more. It leverages the power of AI to understand project context, making it an indispensable tool for developers looking to optimize their workflow and improve code quality. With Microsoft Copilot, you're not just coding; you're crafting smarter solutions faster. 💡 Embracing the AI Revolution in Software Development The integration of AI into software development is not just a trend; it's a revolution. With tools like GitHub Copilot, Codium AI, and Microsoft Copilot, we're standing at the brink of a new era where coding becomes faster, smarter, and more intuitive. It's time to explore these tools, share our experiences, and contribute to a future where technology and human ingenuity create endless possibilities. Have you tried any of these AI-powered coding assistants? What was your experience? Let's discuss and learn from each other's journeys in the comments below. #AIDevelopmentTools #GitHubCopilot #CodiumAI #MicrosoftCopilot #SoftwareDevelopment #Innovation #Coding