pelizzai-reasoning

Structured reasoning for debugging complex engineering bugs uses an operational selector to match the task to specific strategies like Root Cause Analysis or OODA, applying proportional principles and evidence-based validation to manage investigation uncertainty effectively.

The best way to manage risk in architectural decision-making is to use a curated catalog of reasoning techniques, such as Assumption Tracking and Decision Making, to ensure explicit constraint satisfaction and evidence-based validation during high-impact system changes.

To plan a legacy system refactor with unknown dependencies, apply Structured Decomposition and Plan and Execute reasoning techniques to preserve behavior while managing risk, ensuring proportional reasoning based on the task's predominant effect and uncertainty level.

Yes, proportional reasoning handles multi-step planning and investigation by selecting appropriate cognitive approaches like ReAct based on task uncertainty, ensuring the reasoning complexity matches the engineering risk and adheres to explicit constraint satisfaction.

Yes, the reasoning framework works with Test-Driven Development by using an operational selector that matches engineering tasks to specific strategies like TDD, applying the appropriate cognitive approach based on the predominant effect and validation requirements.