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NSS Alumni Unlock Generative AI's Coding Potential | Stories From The Hackery

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Manage episode 460075918 series 3260262
Content provided by Nashville Software School. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Nashville Software School or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
In this episode of Stories From The Hackery, we chat with Spencer Sharpe and Jack Parsons, two NSS graduates and lead software developers. We catch up on their journeys of transitioning from music to tech and explore the impact and utilization of generative AI tools in their current roles. They also share their insights on the evolving landscape of software development. Listen in for their advice on leveraging AI tools, maintaining code quality, and shaping a career in tech today. SHOW NOTES 00:00 Introduction to Stories from the Hackery 00:37 Meet the Guests: Spencer Sharpe and Jack Parsons 02:34 Musical Backgrounds and Career Shifts 9:52 Generative AI Tools and Productivity 17:31 Generative AI for Unit Testing 19:21 Quality and Context in AI-Generated Code 29:12 AI in Code Review 29:29 The Required Human Element 31:53 Training and Assessing Junior Developers 37:52 Resources for Learning to Use Generative AI 42:18 Advice for Aspiring Tech Professionals 44:06 The Future of Software Engineering 50:33 Technology Guilty Pleasures 52:19 Final Thoughts Links from the show: Nashville Software School: https://nashvillesoftwareschool.com How are NSS Alumni Using Generative AI Tools on the Job (Survey 2024): https://learn.nashvillesoftwareschool.com/blog/2024/06/26/how-are-nss-alumni-using-generative-ai-tools-on-the-job Ethan Mollick: 15 times to Use AI and 5 Not to https://www.oneusefulthing.org/p/15-times-to-use-ai-and-5-not-to Prompt Engineering LLMs by John Berryman and Albert Ziegler https://www.amazon.com/Prompt-Engineering-LLMs-Model-Based-Applications/dp/1098156153/
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1230 episodes

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iconShare
 
Manage episode 460075918 series 3260262
Content provided by Nashville Software School. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Nashville Software School or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
In this episode of Stories From The Hackery, we chat with Spencer Sharpe and Jack Parsons, two NSS graduates and lead software developers. We catch up on their journeys of transitioning from music to tech and explore the impact and utilization of generative AI tools in their current roles. They also share their insights on the evolving landscape of software development. Listen in for their advice on leveraging AI tools, maintaining code quality, and shaping a career in tech today. SHOW NOTES 00:00 Introduction to Stories from the Hackery 00:37 Meet the Guests: Spencer Sharpe and Jack Parsons 02:34 Musical Backgrounds and Career Shifts 9:52 Generative AI Tools and Productivity 17:31 Generative AI for Unit Testing 19:21 Quality and Context in AI-Generated Code 29:12 AI in Code Review 29:29 The Required Human Element 31:53 Training and Assessing Junior Developers 37:52 Resources for Learning to Use Generative AI 42:18 Advice for Aspiring Tech Professionals 44:06 The Future of Software Engineering 50:33 Technology Guilty Pleasures 52:19 Final Thoughts Links from the show: Nashville Software School: https://nashvillesoftwareschool.com How are NSS Alumni Using Generative AI Tools on the Job (Survey 2024): https://learn.nashvillesoftwareschool.com/blog/2024/06/26/how-are-nss-alumni-using-generative-ai-tools-on-the-job Ethan Mollick: 15 times to Use AI and 5 Not to https://www.oneusefulthing.org/p/15-times-to-use-ai-and-5-not-to Prompt Engineering LLMs by John Berryman and Albert Ziegler https://www.amazon.com/Prompt-Engineering-LLMs-Model-Based-Applications/dp/1098156153/
  continue reading

1230 episodes

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