Xebia’s Post

🚀 Exciting news! @GitHub has launched #CopilotWorkspace, a new AI tool that enhances the coding process from brainstorming to execution. 🧠💻 🔍 Integrated directly into GitHub repos, devs can describe project goals in natural language. No need to start with code! #DeveloperTools 🤖 The AI generates step-by-step plans and starter code based on your existing codebase. Edit, refine, and run code right in Workspace before full development. #AIinTech 🌟 #CopilotWorkspace is elevating the AI coding assistant game, moving closer to full AI agents that help from ideation to execution. #TechNews

For the devs who want to spend more time writing code and less time writing documentation, what do you think about letting AI take some of that work off your plate? This blog is from a winning project at last year’s Docker AI/ML Hackathon. Check it out to learn how you can upload a code file with the ReadMeAI tool to describe your project, so you can get back to the creative and strategic work you love. 🤖🤝🧑💻 #DockerBlog #AI

Big launch from Tabnine today. The Workspace feature is powerful allowing you to chat with your local codebase and the @ mentions feature brings chatting with your code to a whole new level. Those new functionalities open up many opportunities to leverage local context leading to more assertive and familiar results. Try it out!

GitHub’s CEO Thomas Dohmke demoed Copilot Workspace in his TED Talk, which was released late last week. (GitHub published a blog post about it at the end of April). This looks like an incredible achievement in AI coding and potentially a world-changing technology - for the better. It could soon allow anyone to bring their vision to reality with an AI coder that can not only write code for small components but also: 1. Write a suggested spec. 2. Convert the spec to a task list 3. Write all the code on that task list 4. Verify the code 5. And more… Copilot Workspace can take in your entire codebase and propose step-by-step tasks to turn your existing app into your desired vision. READ MORE >>

GitHub Copilot is transforming the way developers write code, but there are still many misconceptions out there. What You’ll Discover: ⭐ The real impact of Copilot on developer productivity. ⭐ How Copilot integrates with your existing workflows. ⭐ Clarifying the security and reliability concerns. Don’t let misinformation hold you back. Get the facts and learn how GitHub Copilot can truly enhance your development process. Learn More https://okt.to/Urans9 Make sure to bring your thoughts to the Xebia booth at #GitHubUniverse! #GitHubCopilot #AI #SoftwareDevelopment #Xebia #DeveloperExperience

Next week, the Sonar Team is heading to MS Build 2024! Stop by Expert Meet-Up Spot FP36 where we will provide in-depth demo sessions on how our Clean Code solutions - SonarQube, SonarCloud, and SonarLint - help enhance code quality when using Gen-AI-assisted tools! On May 23, Tom Howlett, Head of Product Management will present a demo: "Produce AI-assisted quality code with speed and confidence"! Whether written by humans or generated by AI, it is imperative that code be checked for quality and security. In this demo, Tom will dive into the world of AI-assisted coding, showing how to produce quality code quickly and confidently with GitHub Copilot and Sonar, as well as practical advice to nurture a Clean Code culture. Full details here: https://lnkd.in/gi-HQs2a #CleanCode #MSBuild2024 #MicrosoftBuild24 #SonarQube #SonarLint #SonarCloud #genAI #AI #LLMs #Microsoft Zeynep Koch Harry Wang Manish Kapur

🚨 1 𝐃𝐚𝐲 𝐭𝐨 𝐆𝐨! 🚨 Get your dev team AI-ready with GitHub Copilot 💻✨ 🗓️ Join us tomorrow for an exclusive hands-on workshop! 📅 October 9th, Wednesday ⏰ 1 PM - 2 PM EST 🚀 Don’t miss out on this chance to supercharge your team's coding efficiency! Limited spots available. Register now! 💡 How do you think AI can transform your dev workflow? Comment below! 👇 #GitHubCopilot #AICoding #DevTeam #Workshop #AI

🎉🍾We just launched a big Tabnine update: users can now get more highly personalized recommendations for code generation, code explanations, and test and documentation generation. This update adds even more personalization to your AI coding workflow: ✅ Local code awareness draws context from a broad set of files within the IDE ✅ Global code awareness optimizes recommendations for your team through connections to GitLab, Bitbucket, and other repos ✅ @mentions to tag unopened files, classes, or methods directly into Tabnine Chat Get the details 👉 https://lnkd.in/dy_tS3kd #softwaredevelopment #aicoding #hashtag #GenAI #techinnovation

🤔 AI is taking the world by storm right now, and one of the questions we see the most is, 'Can AI write good code?' Yes! At 7Factor, our entire team has GitHub Copilot licenses, and we see it produce quality code every day. 🧩 But... just like implementing any code, we have to be careful that our existing work is clean and works well with the new code. Asking AI to write code and throwing it into our code base without adjustments is NEVER a good idea. 📜 Always think about the implications of what this code will do to your existing project. Just because AI wrote the code doesn't mean we can throw out our design principles. Always stick to your basic fundamentals. To learn more about AI in software engineering, our CEO and Founder, Jeremy D., talks with 7Factor engineers Jeremy Wood and Maharshi Dubasi in the latest Dev Better episode about writing good code and how AI can help: https://loom.ly/kzCE2k4 #7Factor #SoftwareEngineering #SoftwareConsulting #DevBetter #GitHub #GitHubCopilot #AI

I spoke at PlatformCon this year about why platforms don't matter. If you don't understand how to get the benefits of a tool, the tool is either useless or even a hindrance. AI-assisted coding is a different workflow that requires training in new skills. If you give people tools without training, then I'd expect them not to see any benefit. My personal experience using a workflow where I describe the functional tests is that I develop much faster. I can also refactor faster and understand unfamiliar code more quickly. The takeaway people SHOULD have is "don't just buy tools. Invest in the people using the tools."