mini-alex

To debug a timing-sensitive bug, build a minimal reproduction, add targeted logs or traces to observe behavior, and form a single falsifiable hypothesis before theorizing. This structured debugging approach requires explicit observation to reliably trace and fix the root cause.

Falsification in code review is the practice of actively seeking evidence that contradicts your current assumptions before theorizing. This discipline prevents confirmation bias by enforcing explicit observation and single-hypothesis testing, ensuring reliable detection of edge cases and architectural flaws.

To plan software architecture with uncertain requirements, write down all known requirements and edge cases first, then explicitly surface uncertainties using structured questioning. This requirements-first approach ensures you make grounded architectural decisions instead of silently assuming missing information.

The best way to refactor code without breaking edge cases is to establish a reliable reproduction first, understand the mechanical rules governing the behavior, and then scrutinize implementation choices against documented requirements before applying changes.

You should use a single-hypothesis testing workflow for problem solving when dealing with multi-step reasoning, reproductions, or timing-sensitive bug tracing. This constraint enforces disciplined investigation by requiring targeted observation before theorizing and structured user decision points.

Yes, this debugging approach works for multi-step reasoning and complex feature development by enforcing falsification discipline, structured bug lifecycle tracking, and requirements-first planning to ensure reliable investigation across reproduction, edge case analysis, and architectural decisions.