| | | | | | While freelance developers and hobbyists are obsessing over Cursor and its capabilities, GitHub Copilot is quietly emerging as the winner for DevOps teams across the globe. Last week, your AI Meme Lord, Mohit Pandey, took note of this trend. Here are the observations. | | | | | | | | | | | | GitHub Copilot Extensions | | | | | This is where GitHub Copilot Extensions, now available in public beta after the initial launch in May, come into the picture. These are changing the way DevOps operate, offering an unprecedented level of customisation and integration for development workflows.
| | | | | | | Private Extensions Are All You Need | | | | | With the beta, developers can now embed external tools, databases, and testing frameworks directly into their Copilot environment. This integration is crucial for DevOps teams, who rely on efficient workflows for building, testing, and deploying code. By centralising these tools within Copilot, developers no longer need to switch between multiple platforms, allowing for continuous development and smoother operations. For instance, deploying code or interacting with databases becomes a streamlined task that can be handled directly from the Copilot interface. One of its standout features is the ability for organisations to build private extensions tailored to their specific workflows, coding standards, and internal tools. Thomas Dohmke, the CEO of GitHub and Mario Rodriguez, the CPO of GitHub, highlighted how Atlassian, New Relic, and Octopus are using custom-build extensions. | | | | | | | “At Atlassian, we view Copilot Extensions as a major boost in reducing context switching for developers as they write code,” said Josh Devenny, the head of product, Agile, and DevOps at Atlassian.
Devenny said that with the Rovo-powered extension for GitHub Copilot, developers can look up all of their requirements, testing plans, issues, and docs from Confluence or Jira directly in Copilot Chat at their IDE, which saves time and frustration for the developers and the team.
DevOps teams, often tasked with deploying, managing, and monitoring systems, can benefit significantly from this customisation. By integrating their proprietary tools, these teams can ensure that Copilot understands and supports their unique operational needs, leading to faster deployments and more reliable outcomes.
Another example of custom extensions is Octopus. Matthew Casperson, principal solutions engineer at Octopus, highlighted how Copilot Extensions simplify onboarding in DevOps teams. “…There is no abstraction between written instructions and the execution of that instruction.” This seamless integration between operational tasks and Copilot reduces the need for manual oversight and tool-switching. | | | | | | | GitHub is Just Getting Started | | | | | GitHub’s move to show its love for developers is absolutely timely, as several of them are choosing to work with Copilot alternatives like Cursor and Zed for their AI coding requirements. Funnily enough, none of these companies have actually revealed the number of users on their platforms. However, the case is different for GitHub Copilot. It is the world’s most widely adopted AI developer tool. As shared in Microsoft Q4 FY24 earnings, just over two years since its general availability, more than 77,000 organisations have adopted Copilot, up 180% year-over-year. Additionally, GitHub has 1.8 million paid GitHub Copilot subscribers. “From Copilot Workspace to Copilot Chat, the future of the developers’ environment is AI-native on GitHub,” said Dohmke while showcasing that OpenAI’s o1 is running with Copilot. This is aptly showcased in the latest release of GitHub Copilot Extensions Toolkit, which is now equipping developers within organisations to build quality extensions, similar to Atlassian and New Relic. Currently, the team is looking for feedback from companies on how they use the toolkit. Meanwhile, taking a subtle dig at other AI tools, GitHub said, “The future of AI-assisted development is not just about smarter suggestions—it’s about creating a flexible, extensible environment where AI can be tailored to every developer’s and organisation’s unique needs.” GitHub Copilot, with its extended user base and close integration with VS Code as well, will make it an indispensable tool for developers. Enjoy the full story here. | | | | | Most Successful Companies are the Ones that Pivoted | | | | | | | The origin of many big companies is not as straightforward as it seems. For many, finding the right product-market fit can take months or even years, and is sometimes farther from the original idea. The term ‘pivot’ was first publicly used by Eric Ries, an entrepreneur and author, in his book on course correction by founders being important for success. In India, two of the leading startups, Zepto and Razorpay, pivoted in their early days. Interestingly, both these unicorns are alumni of Y Combinator, the San Francisco-based startup school, which with less than 1% acceptance rate guides founders into the right pivot. Globally as well, several YC-backed companies like Clipboard Health, Brex, Goat, and Escher Reality, among many others, went through cycles of feedback at YC to reach their consumer base. Read the full story here. | | | | | | | | | | | NTT DATA and IBM have partnered to launch SimpliZCloud, a hybrid cloud service built on IBM's LinuxONE platform, designed to optimise financial services in India by offering advanced performance, security, and cost-efficiency for critical banking and AI-driven applications through a subscription-based model. Microsoft and G42 have announced the establishment of two new AI centres in Abu Dhabi to advance responsible AI practices and broaden access to safe AI technologies as part of their ongoing partnership to drive AI innovation and address societal goals, particularly in underserved regions like the Middle East and the Global South. | | | | | Leveraging Cloud for Seamless Data Integration and Breaking Down Data Silos | | | | | | | The DECODE webinar is back with its second episode, where leaders from DBS Bank and Google will explore how cloud technology can break down data silos, enabling seamless data integration, faster decision-making, and smarter business operations. Featuring insights from Luis Carlos Cruz Huertas (DBS Bank) and Sriram Venkat (Google), this session promises to deliver practical approaches for overcoming technical barriers in data integration. | | | | | | | | | Join the NVIDIA AI Summit India from October 23–25, 2024, at the Jio World Convention Centre in Mumbai to explore AI innovations across generative AI, robotics, supercomputing, and more, with 70% of use cases addressing India's grand challenges. Don't miss the Fireside Chat with NVIDIA CEO Jensen Huang on October 24. | | | | | AIM & NVIDIA Present DevPalooza 4.0: The Ultimate Developer Meetup in Bengaluru | | | | | | | Join us at DevPalooza 4.0 in Bengaluru, powered by AIM and NVIDIA, to dive into hands-on generative AI workshops, explore applications, and network with AI professionals—click here to register and secure your spot! | | | | | | | | | Cypher 2024 marks a significant expansion as it celebrates its 8th edition by branching out to the USA in addition to its already established presence in India. Browse through the links below to learn more about the different editions of Cypher 2024. These links will guide you to comprehensive event information, including agendas, speakers, registration details, and more. | | | | | Enjoying Sector 6 (formerly AIM Daily XO)? Share it with colleagues or friends – they can sign up here. We love hearing from our readers! Have thoughts on our new format? Questions, comments, or ideas are always welcome. If there’s a specific topic in AI or analytics that you're curious about, tell us! Reach out to us at info@analyticsindiamag.com. Stay tuned for more insights in our next edition!
Curated with ♥️ in Namma Bengaluru | | | | | | | | |
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