debug-mantra

Systematic debugging requires a four-step workflow: reproduce the failure reliably, trace the fail path, falsify hypotheses, and cross-reference breadcrumbs. This disciplined process uses a persisted experiment ledger to guide analysis and preserve context.

Diagnosing a reproducible bug involves building a runnable reproduction first, then tracing the code path end-to-end to list knobs influencing the outcome. You generate 3–5 ranked hypotheses and test disproof before committing a fix.

This debugging discipline applies to issues across local development, CI, and staging environments. It works for any reproducible failures, stack traces, and logs, maintaining an experiment ledger throughout the session.

Maintaining context during troubleshooting requires a persisted experiment ledger that treats every run as a breadcrumb. By cross-referencing these breadcrumbs, you preserve analysis context and track outcomes systematically across the session.

Falsifying a hypothesis before fixing a software bug ensures you test disproof rather than confirming bias. By generating 3–5 ranked hypotheses and attempting to disprove them, you systematically validate the root cause before committing.

This debugging process works without dependencies or external components. It is a disciplined workflow relying on a fixed four-step process and a persisted experiment ledger to guide analysis, requiring only reproducible failures or logs.