systematic-debugging

To find the root cause of a software regression, you need a hypothesis-driven debugging workflow that creates testable hypotheses, verifies causal toggles, and applies minimal fixes to ensure evidence-based diagnostics.

Hypothesis-driven debugging is a structured workflow that creates a ledger of testable assumptions before code changes. Use it for complex failures, flaky behavior, and scenarios requiring causal verification and TDD-compliant behavior fixes.

Orchestrate agent roles for debugging by dispatching specialized agents like debugger, explorer, and verifier. This maintains clean context and separation of concerns while investigating unknown root causes and confirming causal toggles.

Yes, a systematic debugging workflow resolves flaky behavior and unknown failures by enforcing evidence-based diagnostics. It requires a confirmed causal toggle to prove the root cause before applying a minimal isolated fix.

The best way to ensure TDD-compliant behavior fixes is applying a structured workflow that forces testable hypotheses before code changes and requires causal verification to prove the root cause of the failure mode.

Applying quick fixes fails because it bypasses root cause analysis and causal verification. Without a hypothesis-driven workflow to confirm the causal toggle, superficial fixes do not address the actual failure mode.