gstack-openclaw-investigate

Root cause investigation requires collecting symptoms, tracing code paths, checking recent changes, and attempting deterministic reproduction before proposing fixes. This systematic approach classifies issues into patterns like race conditions or state corruption and validates hypotheses through targeted instrumentation.

Debugging nil/null errors and state corruption systematically involves classifying the issue into common bug patterns, formulating hypotheses, and validating suspected causes using targeted logging and assertions. A 3-strike rule ensures confirmation before proceeding to minimal-diff fixes with regression tests.

Troubleshooting integration timeouts and environment mismatches involves a staged workflow covering symptom collection, code-path tracing, and recent-change review. The process enforces deterministic reproduction attempts and hypothesis confirmation via targeted instrumentation before applying minimal-diff root-cause fixes.

Root-cause analysis for intermittent issues without deterministic reproduction still applies pattern-based classification like race conditions or stale cache. The workflow requires formulating hypotheses and validating them through targeted logging and assertions, enforcing a 3-strike rule to confirm suspected causes before fixing.

Hypothesis testing with targeted logging works for resolving complex software failures by validating suspected causes through assertions and evidence gathering. The 3-strike rule ensures only confirmed hypotheses proceed to minimal-diff fixes, followed by full test-suite verification and structured debug reporting.