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The Digital Fight Club - Will Artificial Intelligence replace software developers?

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Manage episode 399595828 series 3535718
Content provided by Kieran Gilmurray. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kieran Gilmurray 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://player.fm/legal.

Listen in as Francis Carden, and I debate whether or not generative AI will replace software developers on this episode of The Digital Fight Club.
One of the most popular ideas to promote generative AI is the concept of a code 'co-pilot'. In other words, AI can act as a 'pair programmer' that helps developers and business users write better code faster and with less work than traditional coding. Alternatively

How would this work❓
For non-traditional developers, such as business users, natural language processing (NLP) could allow business users to describe the functionality they want in natural language, and the system can translate it into computer code. Now business users can get the functionality they need without needing to go into a never-ending IT backlog.
This has the potential to revolutionize application code development as we know it, making it accessible to non-experts by unleashing a huge range of business productivity.
From a traditional developer viewpoint, as a developer codes AI can predict what the developer will write next and offer to complete the next line, or lines, of code.
In both developer and line of business use cases, AI would ensure that code best practices are enforced, including built-in ethics and security by design standards, code annotation is completed seamlessly, and bugs are detected and automatically corrected.
Predictive and prescriptive AI could simulate how the code might perform in production, enabling the developer or AI system to refine or optimize the code produced before it is put into a live application environment.
This could reduce the risk of code errors, ethics, security, and performance issues from ever making their way into a live production environment, ultimately saving companies a lot of time and money.
Alternatively, if we did not follow traditional coding methods and rethought what it means to deliver business outcomes on a global scale, we would use generative AI very differently.
What is the right answer❓
Listen in, and join in to find out more.
Support the Show.

For more information:
🌎 Visit my website: https://KieranGilmurray.com
🔗 LinkedIn: https://www.linkedin.com/in/kierangilmurray/
🦉 X / Twitter: https://twitter.com/KieranGilmurray
📽 YouTube: https://www.youtube.com/@KieranGilmurray
📕 Buy my book 'The A-Z of Organizational Digital Transformation' - https://kierangilmurray.com/product/the-a-z-organizational-digital-transformation-digital-book/
📕 Buy my book 'The A-Z of Generative AI - A Guide to Leveraging AI for Business' - The A-Z of Generative AI – Digital Book Kieran Gilmurray

  continue reading

35 episodes

Artwork
iconShare
 
Manage episode 399595828 series 3535718
Content provided by Kieran Gilmurray. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kieran Gilmurray 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://player.fm/legal.

Listen in as Francis Carden, and I debate whether or not generative AI will replace software developers on this episode of The Digital Fight Club.
One of the most popular ideas to promote generative AI is the concept of a code 'co-pilot'. In other words, AI can act as a 'pair programmer' that helps developers and business users write better code faster and with less work than traditional coding. Alternatively

How would this work❓
For non-traditional developers, such as business users, natural language processing (NLP) could allow business users to describe the functionality they want in natural language, and the system can translate it into computer code. Now business users can get the functionality they need without needing to go into a never-ending IT backlog.
This has the potential to revolutionize application code development as we know it, making it accessible to non-experts by unleashing a huge range of business productivity.
From a traditional developer viewpoint, as a developer codes AI can predict what the developer will write next and offer to complete the next line, or lines, of code.
In both developer and line of business use cases, AI would ensure that code best practices are enforced, including built-in ethics and security by design standards, code annotation is completed seamlessly, and bugs are detected and automatically corrected.
Predictive and prescriptive AI could simulate how the code might perform in production, enabling the developer or AI system to refine or optimize the code produced before it is put into a live application environment.
This could reduce the risk of code errors, ethics, security, and performance issues from ever making their way into a live production environment, ultimately saving companies a lot of time and money.
Alternatively, if we did not follow traditional coding methods and rethought what it means to deliver business outcomes on a global scale, we would use generative AI very differently.
What is the right answer❓
Listen in, and join in to find out more.
Support the Show.

For more information:
🌎 Visit my website: https://KieranGilmurray.com
🔗 LinkedIn: https://www.linkedin.com/in/kierangilmurray/
🦉 X / Twitter: https://twitter.com/KieranGilmurray
📽 YouTube: https://www.youtube.com/@KieranGilmurray
📕 Buy my book 'The A-Z of Organizational Digital Transformation' - https://kierangilmurray.com/product/the-a-z-organizational-digital-transformation-digital-book/
📕 Buy my book 'The A-Z of Generative AI - A Guide to Leveraging AI for Business' - The A-Z of Generative AI – Digital Book Kieran Gilmurray

  continue reading

35 episodes

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