Implement an active Artificial Intelligence prompt directly integrated into Service Studio / ODC Studio, capable of analyzing OML files to detect issues, suggest improvements, and propose corrections, both automatically and through clear, detailed explanations of the proposed solutions.
The idea is to allow developers to select a module or a set of elements (Actions, Aggregates, Entities, UI, integrations, etc.) and request an intelligent analysis that can:
Identify logic, performance, security, and best-practice issues
Suggest architectural and code readability improvements
Clearly explain the root cause of each issue and the recommended solution
Optionally apply automatic fixes or generate assisted refactoring suggestions
An initial approach could involve exporting the OML for analysis by an external AI model (such as ChatGPT or Claude). However, the key differentiator would be having this capability natively embedded within the Studio, removing friction from the development workflow and improving application quality directly during development.
Modern development tools already leverage AI for code review, refactoring, and optimization, delivering measurable gains in productivity and code quality. Bringing this capability deeply into the OutSystems platform would deliver significant value to developers, reinforcing OutSystems’ position as a leader in intelligent, AI-assisted low-code development.