dev-trace

Root cause analysis of intermittent bugs requires generating multiple plausible hypotheses, evaluating evidence for and against each, and ranking them by strength to identify the most likely explanation. This approach prevents premature conclusions by ensuring competing causes are systematically compared before resolution.

Investigating performance regressions across regional anomalies demands evidence-driven causal tracing to generate competing explanations for the observation. By applying analytical lenses like systems thinking and premortem, you can gather supporting and contradicting evidence for each hypothesis to isolate the true underlying cause.

Incident investigation benefits from generating two or more plausible explanations for an ambiguous observation and systematically collecting evidence for and against each. Ranking these hypotheses by evidence strength and proposing a discriminating probe helps resolve uncertainty and prevents premature conclusions during the investigation.

Hypothesis testing for architectural regressions involves applying scientific skepticism to evaluate competing causal explanations before making code changes. By synthesizing a provisional best explanation and proposing a discriminating test, you validate the root cause safely and output a structured report for follow-up.

Causal tracing is necessary for ambiguous engineering observations when standard debugging fails to isolate a single root cause. Use it when multiple hypotheses exist for intermittent bugs, regional anomalies, or performance regressions, and you need to rank competing causes by evidence strength to determine the next probe.

Dev-trace supports generating a structured report saved to the workspace for follow-up after ranking competing root cause hypotheses. The process involves collecting evidence, rebutting strong alternatives, synthesizing a provisional best explanation, and outputting the final decision guidance and findings for future reference.