deep-dive

To investigate root causes before requirements generation, you can use causal tracing to analyze parallel hypotheses across code-path, configuration, and measurement lanes. This method translates ambiguous problems into evidence-grounded specifications by confirming the underlying mechanism first.

The best way to trace intermittent production bugs into actionable specs is running a 2-stage pipeline that couples causal tracing with requirements crystallization. It feeds synthesized trace evidence directly into a follow-up interview, ensuring the final spec is grounded in confirmed findings.

Causal tracing for ambiguous system behavior works by investigating three parallel hypotheses: code-path execution, config or orchestration mismatches, and measurement or artifact discrepancies. This multi-lane approach isolates the true mechanism causing the unclear production behavior.

Yes, you can use pipeline automation to generate specs from bug investigation findings. The pipeline automates a 3-point trace injection that feeds confirmed causal hypotheses directly into requirements engineering, producing an actionable spec output ready for execution handoff.

Yes, you need to confirm hypotheses manually during root cause analysis. The pipeline requires user-confirmed hypotheses before proceeding to requirements crystallization, ensuring the generated specs rely on validated evidence rather than automated assumptions.

Generating specs without root cause discovery risks producing requirements based on assumptions rather than evidence. When production system behavior is unclear, skipping causal tracing and trace-to-interview injection often leads to ineffective fixes that fail to address the actual mechanism.