Reset Debug Playbook: Interview Drills

Interview drills

Interview Drills for Reset Debug Playbook focuses on reset-related failure reproduction time, first-pass root-cause hit rate. The goal is to convert issue observations into mechanism-backed closure decisions.

PROMPT
You see reset-related failure reproduction time, first-pass root-cause hit rate in Reset Debug Playbook. Explain root cause and signoff decision.

STRONG ANSWER
1. Names crossing/reset class and context.
2. Explains Reset bugs are often timing-sequence interactions across power, clocks, and reset domains; debug must isolate order, polarity, and release windows.
3. Requests boot waveform bundle, reset event timeline, root-cause memo.
4. Chooses fix/waiver/escalation with regression plan.

WEAK ANSWER
Lists tool commands or generic advice without mechanism and risk framing.

Diagram to draw on whiteboard

Reset failure timeline

t0 reset assert
t1 clock ungated
t2 reset release domain A
t3 reset release domain B
t4 first traffic

Correlate failure to exact release ordering.

Debug tree to narrate

ROOT-CAUSE TREE — Reset Debug Playbook

crossing failure observed
        |
   reproducible?
     /        \
   no          yes
   |            |
stress mode   classify issue
expansion       /      |      \
            synchronizer protocol reset/reconvergence
                 |         |           |
            MTBF fit    liveness    release ordering

CDC/RDC deep dive

Reset release ordering is a first-order reliability contract.

Concept diagram

RESET RELEASE FLOW

assert global -> clocks stable -> sync release per domain -> first transaction

Metric graph

BOOT STABILITY

passes per 1k boots: 920 -> 980 -> 999

Reports and artifacts

• reset dependency matrix

• RDC warning classes

• boot stress logs

• waiver aging

Mini case study

Domain B released before producer A was valid, causing rare startup deadlock.

Debug branches

• Correlate reset and clock timelines

• verify async assert/sync release

• exercise skewed release tests

Senior review question

Ask: what evidence proves this risk is closed for silicon, not just tool-clean?

Key takeaways

• State crossing class, assumptions, and owner with every issue.

• Run structural and dynamic regressions after each fix.

Common pitfalls

• Treating all warnings as equivalent risk.

• Waiving issues without containment evidence.

• Skipping reset and reconvergence stress after CDC fixes.

Principal CDC/RDC review addendum

Reset bugs are often timing-sequence interactions across power, clocks, and reset domains; debug must isolate order, polarity, and release windows.

Metric: reset-related failure reproduction time, first-pass root-cause hit rate