The DeepClone project uses a deep learning algorithm to predict the next set of code tokens based on existing code, making it easier for programmers to reuse code snippets. By analyzing a large code database, DeepClone can accurately predict the next steps in writing code, reducing the need for manual customization. The approach has been tested and found to be effective in predicting code tokens and clone method bodies, showing promise for improving code reuse in software development.