🐛 Bug Analysis & Reporting

Bug Analysis & Reporting: Pasting a raw, unsanitized log into Claude is like handing a courier your entire wallet to deliver one document — the mechanism is exact: the courier on

Pasting a raw, unsanitized log into Claude is like handing a courier your entire wallet to deliver one document — the mechanism is exact: the courier only needed the document (the error line), not the ID card and credit cards (session tokens, emails, IPs) that happened to be in the same envelope (the log file). Here is the question worth sitting with: if Claude only needs the ERROR to help you, why do so many testers paste the entire raw log, customer emails and auth tokens included? Because scrubbing feels like an extra step of friction — but that friction IS the safety mechanism: once a secret leaves your terminal into any external service's request, you cannot revoke that exposure the way you can rotate a leaked API key you control. Java comparison: this is the same category of mistake as catch(Exception e) { log.error(e.getMessage()) } where getMessage() happens to contain a raw JDBC connection string with a password — logging frameworks that don't scrub are a known source of real incidents, and pasting into an AI chat is the same sink with one extra hop (a third party) removed. The QA stake is not hypothetical: a leaked session token or customer email in a shared Claude conversation (a screenshot posted in a team channel, an enterprise log-retention policy) is a real privacy incident — sanitize BEFORE you paste, every time, not after you notice something looks sensitive.

From Stack Trace to Ranked Hypotheses

Paste the sanitized stack trace and ask Claude to rank possible root causes by likelihood, with reasoning for each — not to declare a single "the" cause. Treat the answer as a set of hypotheses to test, the same way you would treat a colleague's educated guess, not as a verdict.

Reasoning: why paste a FLAKY test's last 3-5 run logs together instead of just the latest failure? A single failure log looks like a normal one-time hypothesis: "the element wasn't found." But 3-5 logs across different intermittent points can expose a PATTERN — always fails when run in parallel, or only after a specific prior test — that no single log can reveal. The fix lives in the pattern, not in any individual stack trace.

Step by Step: From Log to Bug Report

Before pasting anything, emails, tokens, IPs and customer names are removed from the log.

Paste multiple runs for flaky bugs

One failure log looks random; 3-5 logs from the same flaky test reveal a PATTERN.

Ask for ranked hypotheses

Instead of a single "definite cause", root-cause hypotheses ordered by likelihood are requested, each with reasoning.

A structured bug report is requested with a suggested severity/priority AND its justification.

Confirm before filing

The top hypothesis is reproduced by YOU; the final severity is set by YOU based on real business impact.

Arrange the flow from a raw error to a safe bug report in the correct order.