Joule can generate code and associated artefacts like UI components within moments when prompted appropriately across different programming models in the SAP space. Joule can generate RAP business logic elements and create RAP-service-related repository objects as well. It also provides context-based predictive code assistance, suggesting possible next line of code, any necessary comments etc., to reduce redundant typing activities. These two key features are key aces for developers in reducing coding efforts and improving productivity. Unit Test generation tools further complement the development tools.

Additionally, Joule can help in deciphering code and provide an explanation in the context of the solution. This aids developers in understanding legacy code or new code where comments/explanations are not available. In the context of brownfield or bluefield implementations, Joule can reduce the analysis efforts required to understand the legacy solution. From a personnel perspective, junior resources can learn a lot by leveraging this feature when assistance or guidance from seniors is not available.

On the other hand, Joule is on a learning curve. Currently Joule is focused on Design phase solutioning and yet to extend beyond that. As with any generative AI tool, there are some issues which would need a human in the loop to mitigate any potential issues. One of the issues is variability in the outcome between different runs.

As a tool for developers, despite a few shortcomings, Joule can be a great asset when employed judiciously. Faster innovation, higher productivity and scalable solutions.

~S