ITPro’s Post

Yesterday our post covered 10 pain points for developers that kill productivity. One we forgot to mention was the psychological strain that you get from 'context switching'. Developers constantly juggle tasks, tools, and environments - and it's exhausting. 😫 This constant "context switching" is a major drain on productivity. Switching between tasks, even for short periods, forces your brain to reorient, leading to wasted time and increased errors. The good news? New tools are emerging to combat this problem. GitHub's new Copilot Extensions, announced at Microsoft’s Build conference, aims to tackle this by centralizing tools and services within the IDE. Imagine troubleshooting, applying fixes, and deploying—all without leaving your workspace. 🚀 Read more here: https://lnkd.in/ezThsu_B #DeveloperProductivity #SoftwareDevelopment #ContextSwitching #DeveloperHappiness #Develocity

Here are some of the more notable announcements from GitHub’s Universe 2024 Conference today that can drive efficiency and security for dev teams: 𝗔𝗜-𝗗𝗿𝗶𝘃𝗲𝗻 𝗖𝗼𝗱𝗲 𝗥𝗲𝘃𝗶𝗲𝘄 𝗳𝗼𝗿 𝗙𝗮𝘀𝘁𝗲𝗿 𝗙𝗲𝗲𝗱𝗯𝗮𝗰𝗸 GitHub now offers Copilot code reviews directly on GitHub, providing real-time, AI-generated feedback on pull requests. Admins can also set up automated reviews to support team-wide oversight. 𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲𝗱 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗖𝗮𝗺𝗽𝗮𝗶𝗴𝗻𝘀 𝘄𝗶𝘁𝗵 𝗖𝗼𝗽𝗶𝗹𝗼𝘁 𝗔𝘂𝘁𝗼𝗳𝗶𝘅 To tackle security debt, GitHub Advanced Security has launched campaigns using Copilot Autofix, which generates contextual fix suggestions for up to 1,000 code scanning alerts at once, enhancing collaboration between security and dev teams. 𝗜𝗻-𝗘𝗱𝗶𝘁𝗼𝗿 𝗔𝗜 𝗖𝗼𝗱𝗲 𝗥𝗲𝘃𝗶𝗲𝘄𝘀 𝗶𝗻 𝗩𝗦 𝗖𝗼𝗱𝗲 VS Code users can now access GitHub Copilot code review, receiving AI-based suggestions on selected code or entire changes before pushing, which enhances quality control directly in the editor. 𝗘𝘅𝗽𝗮𝗻𝗱𝗲𝗱 𝗣𝗮𝗿𝘁𝗻𝗲𝗿 𝗖𝗼𝗱𝗲 𝗦𝗰𝗮𝗻𝗻𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗖𝗼𝗽𝗶𝗹𝗼𝘁 𝗔𝘂𝘁𝗼𝗳𝗶𝘅 GitHub’s Copilot Autofix now supports suggestions for issues detected by partner tools like ESLint, allowing seamless remediation across multiple scanning tools. 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝗣𝗥 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝗖𝗼𝗽𝗶𝗹𝗼𝘁 𝗪𝗼𝗿𝗸𝘀𝗽𝗮𝗰𝗲 The new Copilot Workspace allows teams to refine and test suggestions in the context of pull requests, streamlining the feedback loop and helping to address merge-blocking feedback more efficiently. 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗖𝗵𝗼𝗶𝗰𝗲 𝘄𝗶𝘁𝗵 𝗠𝘂𝗹𝘁𝗶-𝗠𝗼𝗱𝗲𝗹 𝗖𝗼𝗽𝗶𝗹𝗼𝘁 GitHub now offers a choice of multiple large language models (LLMs) within Copilot, including Anthropic’s Claude 3.5 Sonnet and Google’s Gemini 1.5 Pro, allowing developers to select models suited to specific tasks, from rapid feedback to complex coding needs. https://lnkd.in/egHds_mR

🚀 Exciting News for Developers! Introducing GitHub Copilot Enterprise 🚀 Empower your development teams with the latest in AI assistance tailored for your organization's needs. Here's a snapshot of what you need to know: 🔍 GitHub Copilot Enterprise: Revolutionizing the software development lifecycle with customized and conversational AI support. 🎯 Core Features: Copilot Enterprise offers developers an intuitive platform to comprehend code, tap into organizational wisdom, and expedite pull request reviews through natural language chat and intelligent suggestions. 💡 Impact and Benefits: Witness a surge in developer productivity, satisfaction, code excellence, and innovation as Copilot Enterprise harnesses your organization's codebase, best practices, and real-time web insights. 💼 Availability and Pricing: Excitingly, Copilot Enterprise is now generally available for GitHub Enterprise Cloud customers at an affordable $39 per user per month. Rest assured, it comes with robust guarantees of security, privacy, compliance, and transparency. Unlock the potential of your development workflow with GitHub Copilot Enterprise. Elevate your coding experience today! #GitHub #CopilotEnterprise #DeveloperProductivity #Innovation #AIAssistance #GitHubEnterpriseCloud

GitHub has once again transformed the development landscape with the technical preview of GitHub Copilot Workspace. Copilot Workspace is a Copilot-native developer environment designed to redefine the way we build software. https://lnkd.in/dcFx6Tgc Within this innovative space, developers can brainstorm, plan, build, test, and run code—all through natural language. This task-centric experience ensures that developers remain at the helm of the creative process. Also, this tool doesn't just assist; it amplifies developer creativity, making the process faster and more intuitive than ever. As we continue to embrace these generative AI advancements, it's clear that the future of software development is here. Stay tuned for an upcoming post on CloudyNow, where I'll dive deeper into how AI is revolutionizing the developer experience. Don’t miss it! #GitHub #CopilotWorkspace #SoftwareDevelopment #GenerativeAI #Innovation #CloudyNow

I attended Github Universe '24 #githubuniverse in person this past week and really enjoyed the conference. Lets review the big announcements. First: openAI o1 model is now available in copilot! 💥 (I kinda expected this announcement) Second: copilot is multi-model! Not just openAI models, but other vendors models are available via copilot. What models? you ask. They announced the ability to choose Anthropic's Claude 3.5 Sonnet or Googles Gemini 1.5 Pro (both in copilot public preview now) in copilot. Wow! That surprised me, but kudos to the github team for opening it up (🚫 vendor lock in). Its my expectation/hope that we will get to a world where software engineers can chose the LLM model and the AI developer experience which best meets their needs. I'm sure github felt the competitive pressure, but this is a big step in that direction by one of the biggest players in the space. I also learned about github models (https://lnkd.in/ghm3Y6eP) which continues the multi-model theme, and provides a playground where you can choose from models such as Llama, openAi, Ministral etc. use, compare and get starter code. Looks interesting. Third Github copilot workspace (https://lnkd.in/gnVdVU4n) is now in waitlist. I got to learn more about this product at the Github Galaxy event and want to get hands on and try it. This is a complex problem they're trying to solve and I would not be surprised if initial release needs a lot of collaboration. "single most revolutionary feature since github" - github. I attended a talk by the Github Next team who developed copilot and workspaces and they talked about the product and various phases of feature dev: spec, brainstorm, plan, code, fix code in workspace collaboration. Feels like test phase is warranted too eh! 🤔 Fourth Github copilot PR review. It in waitlist. I think this can be a "killer feature" for AI developer tooling (if its done well). But it needs to be done well because it's a complex problem. Side note: 2 hackathons ago, I and a colleague built an integration to provide PR feedback using github actions and calling chatGpt api. However you don't have to waitlist for getting code feedback in you ide, that is available now in Github Copilot chat v22. I'll post about that in another post. But I tried it this week and like it. Github also talked about how many people are using github. Over 7M students and 245k teachers use github. They showcased home-assistant and also "hack club" a hacking group for teens. We also learned python is the #1 gh language! A word on the conference venue and organization. It was awesome. Github know how to throw an event. The venue at Fort Mason across from Alcatraz, "the rock" was beautiful. The weather was great, sunshine both days. Even for a long time San Francisco resident the bay never fails to impress. That's the octocat with Alcatraz in the background. The food, coffee, snacks, vendors, dj, after event parties were all great.

Bredec Group BredecDevelopment 'Context switching' is a major drain on developer productivity — here's how GitHub plans to solve that - ITPro: 'Context switching' is a major drain on developer productivity — here's how GitHub plans to solve that  ITPro inquiry@bredec.com Inquiry@bredec.com

Measuring developer productivity: by all accounts not the most straightforward endeavour. The research below however takes a compelling approach, assessing the value of GitHub Copilot across 17000 devs.

To all of you who love exploring the latest frameworks, I’m curious to know which tech online support communities you all enjoy being a part of. Jumping into the tools on the weekend I’m impressed with the support and speed of knowledge sharing the following front-end frameworks provide. I think there are valuable lessons here for the enterprise. • Serverless Stack (SST) community: https://discourse.sst.dev/ • Vercel community: https://vercel.community/ • Remix community: https://lnkd.in/g6nwA-KS I'm eager to hear your favorites and why they stand out to you. 🔽 Vote by liking the comment that mentions your favorite community! #TechCommunities #SST #Vercel #Remix #Learning #Support --- My Answer: I love the remix entry page as it’s really clear where to go for what and I really value that in a starting point! Otherwise I normally start with a readme, hit the website docs, GitHub repos, find some YouTube videos (the sst ones I enjoy the way dax describes tech) stumble through forums or a discord channel … but here’s a little context : 1. While I don’t participate in these communities when I'm not actively coding, as someone who's loves trying out emerging tech, quickly jumping in and out of these communities helps me keep up-to-date and learn continuously. Im usually looking for quick starts, then integration examples and sometimes help with known or new errors.

Today, we are bringing the next frontier of developer tools with the general availability of #GitHub #Copilot #Enterprise – a companion that is customized to your organization’s knowledge and codebase. For too long, the inaccessibility of institutional knowledge has acted as a blockade preventing developers from fully exercising their creativity and building more for you. We’re changing that. Now, team members can ask questions about public and private code, get up to speed quickly with new codebases, build greater consistencies across engineering teams, and ensure that everyone has access to the same standards and work that’s previously been done. This is GitHub Copilot Enterprise. https://lnkd.in/dPu39ui9

Three years ago we launched a technical preview for GitHub Copilot and invited the world's developers to take a test flight with something we felt would radically improve their code authoring experience. Two years ago GitHub Copilot became generally available, ushering in a new phase in development. Within the past year we've added chat to GitHub Copilot, making the AI-assisted developer experience more conversational. Today we're releasing a technical preview of our next big thing: Copilot Workspace. What is Copilot Workspace? It's an AI-powered, natural-language driven way to plan, build, test, and run code. Want to learn more? Be sure to read this post detailing its current capabilities and join the wait list to get access to the preview.