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محتوای ارائه شده توسط Curiosity Software. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Curiosity Software یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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Episode 15: The Future of AI Co-Pilots with Mark Winteringham

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Manage episode 407803760 series 3461985
محتوای ارائه شده توسط Curiosity Software. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Curiosity Software یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
Welcome to episode 15 of Inside The Outer Loop! In this episode, Curiosity Software's Rich Jordan and James Walker, are joined by Mark Winteringham, author of AI-Assisted Testing. Together they reflect on their experience with AI, the effect it has had on software quality and testing, and the future of AI Co-Pilots. LLMs, namely ChatGPT, Gemini and Llama are cool, but what do they offer in terms of delivering software quality? What leaps have you taken in using generative AI technology? How will you future-proof your AI-Assisted testing efforts? By now you really should be considering these questions at a strategic organisational level. Guest Mark Winteringham unravels a collage of challenges as he reflects on his new book "AI Assisted Testing” with our hosts. Providing a balanced perspective in understanding the progress, plateaus, and benefits of using artificial intelligence and co-pilots for delivering quality software. James follows up by exploring the value of AI Co-Pilots in testing and the importance of context in prompt engineering, emphasising the need for experimentation to determine what actually makes a good prompt. Seen with a healthy scepticism, prompts can be used as aids to extend quality testing abilities. But to yield better results, rather than prompting AI with a broad question, the advice is to target specific parts of the system or problem. But what does implementing AI technology in to your SDLC actually mean, and how does it work? The possibilities seem endless, and large language model’s keep growing, but has there been an impact, is true transformational change still a while away? Use Curiosity's code at checkout for a discount on Mark Winteringham's book, AI-Assisted Testing! Get the Book Here: https://bit.ly/ai-testing Use this code: podcuriosity24 Inside the outer loop – brought to you by the Curiosity Software team! Together with industry leaders and experts, we uncover actionable strategies to navigate the outer loop of software delivery, streamline test data management, and elevate software quality. Tune in to transform the way you think about software delivery, quality, and productivity!
  continue reading

34 قسمت

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iconاشتراک گذاری
 
Manage episode 407803760 series 3461985
محتوای ارائه شده توسط Curiosity Software. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Curiosity Software یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
Welcome to episode 15 of Inside The Outer Loop! In this episode, Curiosity Software's Rich Jordan and James Walker, are joined by Mark Winteringham, author of AI-Assisted Testing. Together they reflect on their experience with AI, the effect it has had on software quality and testing, and the future of AI Co-Pilots. LLMs, namely ChatGPT, Gemini and Llama are cool, but what do they offer in terms of delivering software quality? What leaps have you taken in using generative AI technology? How will you future-proof your AI-Assisted testing efforts? By now you really should be considering these questions at a strategic organisational level. Guest Mark Winteringham unravels a collage of challenges as he reflects on his new book "AI Assisted Testing” with our hosts. Providing a balanced perspective in understanding the progress, plateaus, and benefits of using artificial intelligence and co-pilots for delivering quality software. James follows up by exploring the value of AI Co-Pilots in testing and the importance of context in prompt engineering, emphasising the need for experimentation to determine what actually makes a good prompt. Seen with a healthy scepticism, prompts can be used as aids to extend quality testing abilities. But to yield better results, rather than prompting AI with a broad question, the advice is to target specific parts of the system or problem. But what does implementing AI technology in to your SDLC actually mean, and how does it work? The possibilities seem endless, and large language model’s keep growing, but has there been an impact, is true transformational change still a while away? Use Curiosity's code at checkout for a discount on Mark Winteringham's book, AI-Assisted Testing! Get the Book Here: https://bit.ly/ai-testing Use this code: podcuriosity24 Inside the outer loop – brought to you by the Curiosity Software team! Together with industry leaders and experts, we uncover actionable strategies to navigate the outer loop of software delivery, streamline test data management, and elevate software quality. Tune in to transform the way you think about software delivery, quality, and productivity!
  continue reading

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