Project change logs and deeper automation—tracking edits, dependencies, and decisions—could open new ways to manage, refactor, and document apps in Wappler. Imagine a system where both users and AI assistants interact with a living project log or relationship map, supporting smarter workflows without extra overhead.
An optional automation or logging layer could work at two levels. At the Wappler platform level, it could maintain relationships between APIs, library actions, and pages, making dependency checks easier without relying on manual code inspection. At the project level, automation and AI could log the purpose and context behind every major change, such as why a table was created or how a user query led to new features. Together, these approaches could lay the groundwork for safer changes, clearer context, and more adaptive features as projects evolve.
By the way, above was generate for me by wappler AI Manager.