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#221 - How AWS Used AI to Save 4,500 Years of Work – with AWS’s Director of Generative AI Applications
Manage episode 470600195 series 3399111
I've been using AWS Q Developer for a few months now but it turns out I've barely scratched the surface.
Srini, Director of Generative AI Applications and Developer Experiences at Amazon Web Services, who leads the team behind Q, agreed to be interviewed by me.
We discuss:
• How AWS Q Developer helps software engineers with coding, testing, and debugging
• How Amazon used AI to save 4,500 years of development time
• Why AI won’t replace developers—but developers using AI will dominate
• The future of AI in software development and how beginners can stay ahead
🔗 Links Mentioned in This Episode:
• AWS Q Developer: aws.amazon.com/q/developer
• AWS Machine Learning University (MLU) Courses: amazon.science
• AWS Skill Builder (Free & Paid AI Training): aws.amazon.com/training/learn-about/machine-learning/
• AWS Generative AI Innovation Center ($100M investment): aws.amazon.com/generative-ai/innovation-center/
Shameless Plugs
🧑💻 Join Parsity - For career changers who want to pivot into software.
✉️ Got a question you want answered on the pod? Drop it here
Zubin's LinkedIn (ex-lawyer, former Googler, Brian-look-a-like)
Chapters
1. #221 - How AWS Used AI to Save 4,500 Years of Work – with AWS’s Director of Generative AI Applications (00:00:00)
2. Introducing Srini from AWS (00:00:24)
3. Amazon Q Developer Explained (00:09:28)
4. ] AI for Troubleshooting AWS Issues (00:17:07)
5. ] Advice for New Developers (00:18:22)
6. ] Essential Skills for the AI Age (00:22:14)
7. AI's Impact on Developer Productivity (00:37:34)
8. How AI Changed Workflows at Amazon (03:05:02)
9. Saving 4,500 Years with AI Migration (05:52:04)
10. Human Oversight in AI Development (09:54:03)
11. Breaking into the AI Field (11:07:04)
251 episodes
Manage episode 470600195 series 3399111
I've been using AWS Q Developer for a few months now but it turns out I've barely scratched the surface.
Srini, Director of Generative AI Applications and Developer Experiences at Amazon Web Services, who leads the team behind Q, agreed to be interviewed by me.
We discuss:
• How AWS Q Developer helps software engineers with coding, testing, and debugging
• How Amazon used AI to save 4,500 years of development time
• Why AI won’t replace developers—but developers using AI will dominate
• The future of AI in software development and how beginners can stay ahead
🔗 Links Mentioned in This Episode:
• AWS Q Developer: aws.amazon.com/q/developer
• AWS Machine Learning University (MLU) Courses: amazon.science
• AWS Skill Builder (Free & Paid AI Training): aws.amazon.com/training/learn-about/machine-learning/
• AWS Generative AI Innovation Center ($100M investment): aws.amazon.com/generative-ai/innovation-center/
Shameless Plugs
🧑💻 Join Parsity - For career changers who want to pivot into software.
✉️ Got a question you want answered on the pod? Drop it here
Zubin's LinkedIn (ex-lawyer, former Googler, Brian-look-a-like)
Chapters
1. #221 - How AWS Used AI to Save 4,500 Years of Work – with AWS’s Director of Generative AI Applications (00:00:00)
2. Introducing Srini from AWS (00:00:24)
3. Amazon Q Developer Explained (00:09:28)
4. ] AI for Troubleshooting AWS Issues (00:17:07)
5. ] Advice for New Developers (00:18:22)
6. ] Essential Skills for the AI Age (00:22:14)
7. AI's Impact on Developer Productivity (00:37:34)
8. How AI Changed Workflows at Amazon (03:05:02)
9. Saving 4,500 Years with AI Migration (05:52:04)
10. Human Oversight in AI Development (09:54:03)
11. Breaking into the AI Field (11:07:04)
251 episodes
All episodes
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