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Performance

Hot paths: free-recall review

Crux Free-recall prompts across the hot-paths unit. Answer each in your own words first, then reveal the model answer and compare.
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You are at senior altitude — in orbit
◷ 14 min

Retrieval beats re-reading. For each prompt, say or write a full answer from memory before you open the model answer — the effort of recall is what makes the diagnostic loop stick.

Goal

Reconstruct the unit’s spine without looking back: why a wide leaf is only a symptom, the five shapes and their signatures, how the parent/child chain locates the fix, when hardware counters decide, the fix-and-verify loop, and where regressions actually hide.

Recall before you leave
  1. 01
    Why is naming the wide leaf not enough, and what else must you read before choosing a fix?
  2. 02
    List the five hotspot shapes, each with one profile signature and its fix family.
  3. 03
    How do the parent chain and the child chain each locate where to apply the fix?
  4. 04
    When do you reach for hardware counters instead of just reading the flame graph, and what do they reveal?
  5. 05
    State the fix-and-verify loop and what each of its two failure outcomes means.
  6. 06
    Why do hot-path regressions hide in tail latency rather than mean CPU%, and how do you catch them?
Recap

If you reconstructed each answer from memory, you hold the unit’s diagnostic loop: a wide leaf is a symptom, not a cause; classify it into one of the five shapes (plus JIT deopt and the counter-only cases — false sharing, native bridge); the parent chain decides caller-fix vs leaf-fix and the child chain decides this-layer vs one-level-down; hardware counters and TMA resolve compute-vs-memory ambiguity; the fix-and-verify loop demands local-and-headline evidence; and regressions hide in the tail, not the mean. Diagnose first, fix one thing, prove it.

Continue the climb ↑Hot paths: code and counter reading
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