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Amazon Q and The Future of Autonomous Development | AWS' Adnan Ijaz

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Manage episode 474561360 series 2844204
Content provided by LinearB. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by LinearB 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.

AI is evolving at a breakneck speed, leaving engineering leaders with a critical dilemma: innovate or fall behind. But how do you experiment with AI without risking your credibility?

Andrew Zigler sits down with Adnan Ijaz, Director of Product Management for Next Gen Developer Experience at AWS, to unpack the power of AI agents. Together they discuss how to leverage autonomous AI in your development workflow, and learn from real-world examples like Amazon Q.

Dive into the evolving role of the developer and discover how to mentor your AI, not just use it. It's time to shift from task-oriented coding to strategic architecture, and this episode shows you how.

But first, co-host Dan Lines frames the conversation by discussing the shift towards measuring the concrete benefits of AI tools in development, rather than just their potential. Dan also provides examples of how to set realistic expectations for AI implementation by focusing on specific tasks and measuring both individual and workflow improvements, highlighting the need for overall workflow optimization.

Check out:

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  continue reading

222 episodes

Artwork
iconShare
 
Manage episode 474561360 series 2844204
Content provided by LinearB. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by LinearB 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.

AI is evolving at a breakneck speed, leaving engineering leaders with a critical dilemma: innovate or fall behind. But how do you experiment with AI without risking your credibility?

Andrew Zigler sits down with Adnan Ijaz, Director of Product Management for Next Gen Developer Experience at AWS, to unpack the power of AI agents. Together they discuss how to leverage autonomous AI in your development workflow, and learn from real-world examples like Amazon Q.

Dive into the evolving role of the developer and discover how to mentor your AI, not just use it. It's time to shift from task-oriented coding to strategic architecture, and this episode shows you how.

But first, co-host Dan Lines frames the conversation by discussing the shift towards measuring the concrete benefits of AI tools in development, rather than just their potential. Dan also provides examples of how to set realistic expectations for AI implementation by focusing on specific tasks and measuring both individual and workflow improvements, highlighting the need for overall workflow optimization.

Check out:

Follow the hosts:

Follow today's guest(s):

Support the show:

Offers:

  continue reading

222 episodes

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