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How a $100K AI Implementation Project Failed (And the 5 Mistakes That Kill 80% of AI Initiatives)

80% of AI projects fail after proof of concept.

Smart leadership, decent budget, good intentions; but they still burned through 6 figures on AI and got nothing.

This wasn't some startup making rookie mistakes. This was a successful company with experienced engineers and proper funding. They followed all the "best practices," hired a big-name consulting firm, spent months on research and planning, and built impressive prototypes.

Sound familiar?

Elevating Code Quality Through LLM Integration: Adyen's Venture into Augmented Unit Test Generation

At Adyen, we find ourselves at a fascinating crossroads of technology, captivated by the immense potential of Large Language Models (LLMs). What sparked our exploration was a question that reflects curiosity and a strategic vision:

How can we use LLMs, traditionally known for generating text, for a more structured task like code generation and, more specifically, for augmenting the process of creating unit tests?