Purpose and goal
Generativ AI is currently changing the way the software industry writes and maintains code. In this project, we want to use CodeScene´s CodeHealth metric as a compass for the next generation of code agents. It is critical that AI not only writes more code, but also better and more maintainable code. Step 1 focuses on establishing partnerships with American code agent developers and together defining how CodeHealth can be integrated directly into the agents´ decision loops.
Expected effects and result
As a Swedish software quality tools company, we want to create innovation collaborations with American developers of code agents. Our focus is on jointly exploring and demonstrating how maintainability measurement with CodeHealth can be integrated directly into the next generation of code agents. Long-term sustainable collaborations are built through a common technical roadmap, joint research on industrial data and prototype development.
Planned approach and implementation
• Establish contact with relevant American actors in code agents and generative AI.
• Conduct needs and opportunities discussions regarding integration of CH into code agents.
• Identify technical integration points together with potential partners.
The project description has been provided by the project members themselves and the text has not been looked at by our editors.
