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Episode 15: The Future of AI Co-Pilots with Mark Winteringham

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コンテンツは Curiosity Software によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Curiosity Software またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal

Welcome to episode 15 of the Why Didn’t You Test That? Podcast! 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
The Curiosity Software Podcast featuring Huw Price and Rich Jordan and the Curiosity team! Together, they share their insight and expertise in driving software design and development in test. Learn how you can improve your journey to quality software delivery, by considering how much do you really understand about your systems, and when things inevitably go wrong, why didn’t you test that? Spotify | YouTube | iTunes | Google Podcasts | Amazon Music | Deezer | RSS Feed

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17 つのエピソード

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iconシェア
 
Manage episode 407803760 series 3461985
コンテンツは Curiosity Software によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Curiosity Software またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal

Welcome to episode 15 of the Why Didn’t You Test That? Podcast! 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
The Curiosity Software Podcast featuring Huw Price and Rich Jordan and the Curiosity team! Together, they share their insight and expertise in driving software design and development in test. Learn how you can improve your journey to quality software delivery, by considering how much do you really understand about your systems, and when things inevitably go wrong, why didn’t you test that? Spotify | YouTube | iTunes | Google Podcasts | Amazon Music | Deezer | RSS Feed

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