structured-debugging

What problem does it solve?

Hypothesis-driven debugging guides engineers to systematically uncover root causes of hard bugs. This approach replaces guesswork with a disciplined cycle that converges on the root cause by formulating testable hypotheses, instrumenting key data points, and iterating based on observed evidence.

Core Features & Use Cases

• Hypothesis journaling: Document initial theories and maintain an investigation journal that persists across sessions.
• Targeted instrumentation: Add focused logs and assertions at critical decision points to collect evidence.
• Iterative convergence: Narrow the search space and update hypotheses until the root cause is identified.
• Use Case: Debugging hard bugs, flaky tests, or complex system traces where intuition alone fails.

Quick Start

Describe your current debugging hypothesis and identify 2–3 data points to instrument before running tests.