evidence-debugger

To find a root cause from error logs, you can use evidence-first debugging to separate direct evidence from indirect clues. This approach analyzes logs, errors, and test failures to produce ranked hypotheses with explicit confidence levels and clear proof boundaries.

Diagnosing a software regression involves inspecting git history and analyzing evidence to identify the most likely root cause. This process applies evidence-first reasoning to separate proven versus unproven claims, generating a minimal targeted fix path without executing code changes.

Yes, evidence-based root cause analysis can investigate a production error by turning scattered logs and errors into a structured diagnosis. It produces 1-3 ranked hypotheses by confidence, refuses to overstate weak conclusions, and suggests regression checks to prevent recurrence.

To generate a minimal fix path for a bug, analyze the diagnostic evidence to identify the leading cause. The process suggests the smallest targeted change needed to address it, plus regression checks and a gotcha entry to prevent future recurrence.

Read-only debugging analysis limitations include the inability to execute code changes directly. It strictly separates proven versus unproven claims and refuses to overstate weak conclusions, meaning it provides diagnosis and fix planning but requires a separate implementation step.