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

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.

Internal:

• TARTLE Official Website

• TCAST Episodes on YouTube

External:

• Learn More About Bit.dev

• Bit.cloud - Hosting for Hope AI

• Composable Programming Overview (Harvard Business Review)

Related Episode:

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

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