ThoughtWorks advisor Nimisha Asthagiri highlights the challenge many companies face in transitioning AI projects from proof of concept to production, emphasizing the need for fundamental engineering practices like test-driven development and mutation testing. This matters as it underscores the importance of revisiting traditional software engineering disciplines to manage the complexity introduced by modern AI tools, ensuring successful integration into existing systems.
Read the full article at The New Stack
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