Best practices for letting AI write integration code

Estimated reading time: 6 minutes

When you’re integrating AI into engineering workflows, reliability, robustness, and fit are key concepts to consider.

Before we built an AI system that could write integration code for us, we had to confront a simple question that shaped the entire project. What actually makes an integration hard for an AI to write in the first place? 

From the outside, integrations can look like straightforward plumbing. One system has data, another system needs that data, and the code in the middle simply moves it from point A to point B. But anyone who has ever built integrations knows that this image is an illusion.

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