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Jun 18 β€’ 9 tweets β€’ 4 min read Twitter logo Read on Twitter
πŸ€–πŸ‘¨β€πŸ’» The results are in! Github's survey of 500 U.S.-based developers at enterprise companies reveals the impact of AI on the developer experience. 92% of developers are already using AI coding tools both in and outside of work. #GithubSurvey #AI #DeveloperExperience Image
πŸ› οΈ Despite industry-wide investments in DevOps, waiting on builds and tests is still a problem. The most important thing for developers is the developer experience, which determines how efficiently and productively they can exceed standards and drive impact. #DevOps
πŸ’» Developers want more collaboration and believe AI will help with this. 70% of developers believe that AI coding tools will offer them an advantage at work, with better code quality, completion time, and resolving incidents as some of the top anticipated benefits. #AI Image
🀝Collaboration is the cornerstone of the developer experience. Developers work with an avg of 21 other developers on a typical project and need regular touchpoints with their teams, heads-down time, access to fully configured dev environments, and mentor-mentee relationships. Image
πŸ“ˆ AI coding tools can have a significant impact on the developer experience, leading to improved code quality, faster outputs, and greater team collaboration. It's important for developers and engineering leaders to embrace these tools and use them to their full potential.
πŸ”‘ To improve the developer experience, companies should prioritize collaboration and communication as performance metrics, provide more opportunities for upskilling, and invest in reducing wait times for builds and tests. #Collaboration #Upskilling #Innovation
πŸš€ Bottom line, AI coding tools are changing the game for developers. They can help improve code quality, increase productivity, and drive innovation. By prioritizing collaboration, upskilling, and investing in AI, companies can make a positive impact on the developer experience.
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More from @_aigeek

Jun 20
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Jun 20
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Sameer Dholakia, a partner at Bessemer, predicts that AI adoption will be mind-blowingly fast and easier to adopt than previous platform shifts like the cloud. They predict many winners in the AI landscape, with growth in verticalized LLMs specialized for specific tasks.
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Jun 19
πŸš€πŸ€– The future of AI is here! Google CEO, Sundar Pichai, recently spoke at Google I/O about how AI can be more helpful for people, businesses, and communities. Let's explore some highlights from his speech! #FutureofAI @sundarpichai @GoogleAI

A quick recapπŸΏπŸ‘‡ Image
πŸ“ˆπŸŒ With generative AI, Google is reimagining all its core products, including search. Pichai gave examples of how generative AI is already helping evolve products like Gmail and Maps. #AIadvancements #GoogleMaps #Gmail
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πŸš€ In the Age of AI, personalized customer experiences are crucial for competitive advantage. Companies like Home Depot, JPMorgan Chase, and Starbucks are leading the way. #CustomerExperience #AI #Personalization @HBR

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Jun 19
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Jun 19
Have you heard about Otter: A Multi-Modal AI Model with In-Context Instruction Tuning? This cutting-edge model leverages a large-scale dataset called MIMIC-IT to achieve state-of-the-art performances in perception and reasoning benchmarks. @Microsoft @NTUsg #AI
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πŸ€– Otter is not your average AI model. With 2.8 million multimodal instruction-response pairs, Otter demonstrates remarkable proficiency in multi-modal perception, reasoning, and in-context learning. It effectively aligns with the user's intentions. #MultiModal #AI Image
πŸ“ˆ The MIMIC-IT dataset, instruction-response collection pipeline, benchmarks, and the Otter model are all available for use. This means that Otter can be applied to a variety of industries, from healthcare to finance, to improve perception, reasoning, and planning. #DataScience
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