self-improvement

To configure AI agent behavior for a TDD workflow, you adjust outside-in TDD skills by detailing generic framework architectures and project-specific extensions, defining how agents and skills interact.

Adding a new testing framework to a TDD workflow requires creating testing skills, registering them in the TDD registry, and mapping file paths to the new layer to propagate changes effectively.

The TDD registry manages workflow optimization by defining how agents and skills are loaded and interact, separating generic frameworks from project-specific extensions to guide architecture updates.

Yes, you can update contracts and propagate changes across generic AI agent frameworks by adhering to configuration best practices that detail architecture layers and project-specific extensions.

You need to separate generic frameworks from project-specific extensions in AI configuration when fine-tuning internal skills and agent behaviors for better performance and project alignment.

Adding new layers to TDD skills requires updating the TDD registry to maintain correct agent interactions and map file paths, ensuring changes propagate effectively across the architecture.