Why your AI Code Completion tool needs to Fill in the Middle

Code completion models, like those used in tools such as Codeium and Tabnine Pro, traditionally generate suggestions based on the code preceding the cursor, but they often lack the ability to utilize the code that follows. This limitation can be addressed by using a technique called Fill-In-the-Middle (FIM), which reorders the code to provide context that enhances the model's accuracy. By implementing FIM, Codeium, a free tool used by numerous developers, has seen significant improvements in acceptance rates and user satisfaction. This approach is particularly beneficial in the non-linear nature of software engineering, where tasks like adding functionality, refactoring, and bug fixing can greatly benefit from understanding the surrounding code context.

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