From Dixie Dunn, VP of Customer Success at Docker, Inc - “I would encourage people to try Xembly. Try it for like a month and compare the before and after. And then ask yourself if you would give it up.” Before Xembly, the team at Docker relied heavily on manual input. But by focusing on automation and delegating non-value-added work to AI, Docker gained a 20-50% boost in productivity and more time to support their customers. Docker’s story raises an important question for other teams: “How do we become more efficient?” Read the full story to see how Docker improved their workflows to scale for growth ???https://lnkd.in/gsVwzhEf
Xembly的动态
最相关的动态
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?? Roundtable Revelations: The Future of AI in Software Delivery?? I recently had the opportunity to attend an incredible conference that focused on the future of software delivery, and I couldn't be more inspired! The sessions covered a range of cutting-edge topics, including: ?? AI and LLM-Powered Software Delivery for DevOps: We explored how AI is transforming DevOps practices, making processes more efficient and streamlined. ?? Gain Rapid Insight and Level-Up Productivity with AI Assistance: The discussions around AI tools that enhance productivity were eye-opening, showing how we can leverage technology to drive faster, smarter decision-making. ?? Maximize Test Coverage and Deliver Software on Time: Insights into optimizing test coverage were invaluable, emphasizing the importance of delivering high-quality software within tight timelines. I left the conference with a wealth of knowledge and actionable strategies that I can't wait to implement in my work. Huge thanks to the organizers and speakers for such a thought-provoking event! Special Thanks to Manish Gupta Dushyant Chaudhry Rashika Wadhwa Chugh #AI #DevOps #SoftwareDelivery #Productivity #ConferenceInsights
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Based on our latest survey of 200+ CTOs at software companies, engineering leaders are focused on key priorities spanning product development and innovation (e.g., AI add-ons), accelerating developer velocity, and improving underlying infrastructure and processes in 2024. Check out the first chapter in our Engineering Series which dives into topics like developer productivity sentiment, DevOps maturity, AI use cases, and ROI. ?? https://bit.ly/3KQDqXi
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Worth a read from ICONIQ Capital
Based on our latest survey of 200+ CTOs at software companies, engineering leaders are focused on key priorities spanning product development and innovation (e.g., AI add-ons), accelerating developer velocity, and improving underlying infrastructure and processes in 2024. Check out the first chapter in our Engineering Series which dives into topics like developer productivity sentiment, DevOps maturity, AI use cases, and ROI. ?? https://bit.ly/3KQDqXi
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Immerse yourself in expert insights from the recent Software Engineering Leaders Roundtable! Garner valuable perspectives on integrating AI into business strategies, and the latest trends that are reshaping the tech industry. Discover more here ?? https://lnkd.in/gUR8wd_4
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13,000 Engineering Hours Unlocked at Uber AI Support That Works... Uber's engineering team recently shared data from their AI copilot Genie, and the technical details deserve attention. ?? The Results (Since Sept 2023): ? 70,000+ engineering queries handled through Genie ? 13,000 engineering hours redirected to core development ? 48.9% of responses rated helpful by engineers ? Deployment across 154 engineering Slack channels ?? The Core Problem Solved: Engineering teams were facing: ? Fragmented documentation across multiple systems ? Long response times for support queries ? Engineers spending excessive time on repetitive questions ? Inconsistent access to information ?? Technical Architecture: ? RAG (Retrieval-Augmented Generation) - chosen for quick deployment without training overhead ? Integration with wikis, Stack Overflow, engineering docs ? OpenAI models for embeddings + Uber's Search In Action (SIA) vector database ? Custom data streaming pipeline with Slack integration ? Structured data processing into Hive tables ?? Quality & Feedback System: ? Real-time engineer feedback via Slack ("Resolved," "Helpful," "Not Relevant") ? Automated document quality scoring and improvement suggestions ? Custom evaluation pipeline for hallucination detection ? Historical performance analysis using Slack metadata ? Continuous monitoring and refinement ?? Security & Data: ? Pre-approved knowledge sources only ? No sensitive data in the training corpus ? Structured documentation evaluation ? Continuous quality monitoring ?? Engineering Impact: When engineers spend less time answering repetitive questions or searching documentation, they can focus on solving complex problems. The data suggests this isn't just about saving time - it's about reducing context switching and improving information flow. ?? Looking Ahead: While these results are promising, questions remain about scalability and maintaining accuracy as knowledge bases grow. The true test will be sustainability over time. #EngineeringLeadership #AIImplementation #SoftwareEngineering #TechLeadership Credit: Eran Stiller, InfoQ
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We hear a lot about how AI can help with code suggestions but that is only the tip of the iceberg in the efficiencies that can be gained throughout your software development lifecycle for DevSecOps teams! Join GitLab's Fireside Chat tomorrow to discover more about how… ?? AI will become a game changer for your ENTIRE software development lifecycle ?? AI can automate processes and streamline your team’s efforts ??AI will transform critical DevSecOps workflows ensuring quality, security and scalability #ai #devsecops
Explore the power of AI and GitLab Duo
page.gitlab.com
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Early demo of foyle.io, the AI copilot for building DevOps Notebooks on top of runme.dev. In the near future, your engineering docs will pair with you as you create them based on your infra and historical sessions (link to video in the comments).
Foyle
foyle.io
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Hurrayyyy! Toystack AI is gearing up to launch fully managed databases soon, and developers and DevOps folks are going to love it! Don't miss out—join the waitlist now! Toystack.ai
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Last month, GitLab?unveiled?its AI Duo Chat interface! ?? The AI Duo Chat interface is packed with key functionalities like: ??? Code Explanation ??? Code Refactoring ??? Test Generation These all aim to boost productivity! Sounds great, right? Now that it's been out for over a month, I want to hear from you. How has this impacted your workflow, and which functionality is better or worse than the rest??
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Check out our summary of last month's Harness Unscripted conference in London. Unscripted is all about diving into the latest trends in modern software delivery, especially how AI is transforming DevOps and making life easier for developers. The conference is a gathering of industry experts to discuss the latest AI-driven innovations, share best practices, and to give us exclusive previews of new features in software delivery platforms. Read more: https://lnkd.in/erV7xugN #DevOps #UnScripted #Harness #AI
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