TrueChange 2.0: The Case for AI Auto-Healing Dependencies and Semantic Refactoring in ODC
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Hello, community! đź‘‹

Having worked with OutSystems over the past few years—surviving the nightmares of broken references and monolithic architectures in O11, and now exploring the isolation of microservices and the AI Agent Workbench in ODC—I started reflecting on the next evolutionary leap for our platform.

OutSystems Mentor already helps us generate screens and initial logic from prompts, which is fantastic. But what about large-scale maintenance and refactoring?

Our beloved TrueChange is brilliant at pointing out where the application broke. If I change the signature of a core Server Action (e.g., changing an Input from Text to a Record/Structure) or delete an attribute from an Entity, TrueChange turns everything red in the Consumers. But I still have to go into 20 different modules and fix the mapping manually.

The missing feature today: TrueChange Auto-Healing (AI Semantic Refactoring)

What if ODC integrated an AI engine directly into TrueChange that didn't just point out the error, but wrote the fix automatically for your review?

How it would work in practice:

  1. The Trigger: You change the return of an API or the structure of an Entity in your Producer module.

  2. The Analysis: The AI Auto-Healing engine detects that 15 Consumer apps broke. Instead of just throwing errors, the AI analyzes the semantics of your change.

  3. The Action: The engine scans the Server Actions and Data Actions of the consumers and rewrites the mapping logic (adding Assigns, converting data types based on context, or modifying Aggregates).

  4. The Code Review: In ODC Studio, you get a "Pull Request" style notification. You see a visual diff (before/after) of the logic altered by the AI across all consumers, and you just click "Accept All" or reject and adjust it manually.

This would transform the platform from "Low-Code" to "Zero-Maintenance Code" at the architecture layer.