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AI-Generated Code: Why 90% Fails and How to Win

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Manage episode 483009365 series 2911874
Content provided by TARTLE. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by TARTLE 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 today's rapidly evolving tech world, the rise of AI-generated code promises unprecedented speed, but it also comes with a hidden trap: unsustainable, brittle systems that collapse under complexity. In this TCAST episode, Alexander McCaig sits down with Gilad Shoham, the visionary behind Bit.dev and Hope AI, to unpack why 90% of AI code will fail unless developers fundamentally change their approach.

Shoham introduces the concept of composable programming—building software like Lego blocks rather than stitching fragile snippets together. By treating code as structured, reusable components rather than random lines, organizations can scale their development healthily and predictably. You'll discover how Hope AI redefines "code generation" as "code assembly," why traditional AI assistants are missing the mark, and how holistic code architecture can future-proof your projects. If you're serious about digital transformation and AI ethics, this is a must-listen conversation.

🔗 Resources

Internal:

External:

Related Episode:

Your Data Is Stalking You? Digital Privacy Deep Dive (TCAST episode)

Want to future-proof your software against AI-driven chaos? Subscribe to TCAST now and explore the real way to scale responsibly with AI. Visit tartle.co for more insights and discover how to lead the future of ethical technology. Your innovation journey starts today—don’t miss it!

  continue reading

450 episodes

Artwork
iconShare
 
Manage episode 483009365 series 2911874
Content provided by TARTLE. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by TARTLE 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 today's rapidly evolving tech world, the rise of AI-generated code promises unprecedented speed, but it also comes with a hidden trap: unsustainable, brittle systems that collapse under complexity. In this TCAST episode, Alexander McCaig sits down with Gilad Shoham, the visionary behind Bit.dev and Hope AI, to unpack why 90% of AI code will fail unless developers fundamentally change their approach.

Shoham introduces the concept of composable programming—building software like Lego blocks rather than stitching fragile snippets together. By treating code as structured, reusable components rather than random lines, organizations can scale their development healthily and predictably. You'll discover how Hope AI redefines "code generation" as "code assembly," why traditional AI assistants are missing the mark, and how holistic code architecture can future-proof your projects. If you're serious about digital transformation and AI ethics, this is a must-listen conversation.

🔗 Resources

Internal:

External:

Related Episode:

Your Data Is Stalking You? Digital Privacy Deep Dive (TCAST episode)

Want to future-proof your software against AI-driven chaos? Subscribe to TCAST now and explore the real way to scale responsibly with AI. Visit tartle.co for more insights and discover how to lead the future of ethical technology. Your innovation journey starts today—don’t miss it!

  continue reading

450 episodes

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