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performance-budgeting

Axis-by-axis interview methodology for establishing engineering performance budgets during architecture PRD compilation. Use when conducting the Step 10.5 performance budget interview in /create-prd-compile.

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Performance Budgeting

Purpose

This skill owns the interview methodology for establishing concrete, enforceable performance thresholds across all applicable surfaces.

When to Use This Skill

  • During /create-prd-compile Step 10.5 — the performance budget interview
  • Any time engineering performance standards need to be established from scratch
  • When updating ENGINEERING-STANDARDS.md for an existing project

Write-As-You-Go Rule

Performance budgets are written as you go — each axis is discussed, decided, and immediately written to the corresponding subsection of .memory/wiki/specs/ENGINEERING-STANDARDS.md. Do not batch them.

Surface Conditioning

Surface conditioning: Only present axes that apply to the confirmed tech stack surfaces. A CLI-only project skips Web Vitals and bundle-size axes. A web-only project skips Desktop and CLI axes. Always present API and DB axes.

Interview Protocol

Axis 0 — Target device tier and network baseline

Before any threshold is chosen, anchor all budgets to an explicit operating context. Require named choices — no vague defaults.

DecisionOptions (examples)
Target device tierLow-end Android (Moto G Power), Mid-range (Pixel 7a), High-end (iPhone 15)
Target network conditionSlow 3G (400 Kbps, 400 ms RTT), Fast 3G (1.6 Mbps, 150 ms RTT), 4G (9 Mbps, 50 ms RTT), Wi-Fi

Ask: "What is the lowest-spec device and slowest network your users will realistically use? All budgets will be validated against this baseline."

Write immediately → .memory/wiki/specs/ENGINEERING-STANDARDS.md § ## Performance Budgets baseline note — fill in the [device tier] and [network condition] placeholders.

Axis 1 — Web Vitals per page type (web/desktop surfaces only)

Define LCP, INP, and CLS targets per page type (e.g., landing, dashboard, detail). Different page types have different acceptable thresholds.

Page TypeLCPINPCLSNotes
Landing / marketing≤ 2.0 s≤ 150 ms≤ 0.05First-impression page; tightest targets
Dashboard / data-heavy≤ 2.5 s≤ 200 ms≤ 0.1Streaming data acceptable
Detail / form≤ 2.0 s≤ 100 ms≤ 0.05Interaction-heavy; INP matters most

Ask: "Which page types does your app have, and do these starting points fit?"

Write immediately → .memory/wiki/specs/ENGINEERING-STANDARDS.md § ### Web Vitals per page type

Axis 2 — JS bundle size per page type (web/desktop surfaces only)

Define initial and total JS budgets per page type, gzipped.

Page TypeInitial JS (gzipped)Total JS (gzipped)Notes
Landing / marketing≤ 80 KB≤ 150 KBMust load fast on first visit
Dashboard / data-heavy≤ 150 KB≤ 300 KBLazy-load heavy components

Ask: "Are there pages that pull in large libraries (maps, charts, editors)? Those need their own row."

Write immediately → .memory/wiki/specs/ENGINEERING-STANDARDS.md § ### JS Bundle Size per page type

Axis 3 — API response time per tier

Define p50, p95, and p99 targets per tier, not a single number for the whole API.

TierDescriptionp50p95p99
Tier 1 — Cached readResponse served from cache (Redis, CDN, in-memory)≤ 10 ms≤ 30 ms≤ 50 ms
Tier 2 — Uncached readSingle-entity DB fetch or simple join≤ 30 ms≤ 80 ms≤ 150 ms
Tier 3 — WriteCreate, update, delete with validation≤ 80 ms≤ 200 ms≤ 400 ms
Tier 4 — BackgroundAsync jobs, batch processing, external callsBest-effort≤ 1000 ms≤ 3000 ms

Ask: "Do any endpoints call external services? Those belong in Tier 4. Are there any endpoints that don't fit these four tiers?"

Write immediately → .memory/wiki/specs/ENGINEERING-STANDARDS.md § ### API Response Time per tier

Axis 4 — DB query time per tier

Define p50 and p95 targets per query tier.

TierDescriptionp50p95
Tier 1 — Indexed point lookupPrimary-key or unique-index fetch≤ 5 ms≤ 15 ms
Tier 2 — Indexed range scanRange or list query on indexed column≤ 15 ms≤ 50 ms
Tier 3 — AggregationCOUNT, SUM, GROUP BY, window functions≤ 50 ms≤ 150 ms
Tier 4 — Full-text / vector / analyticalSearch, similarity, or reporting queries≤ 100 ms≤ 300 ms

Ask: "Are there any known heavy queries (reports, analytics)? Those belong in Tier 4. Any queries that don't fit these four tiers?"

Write immediately → .memory/wiki/specs/ENGINEERING-STANDARDS.md § ### DB Query Time per tier

Axis 5 — Desktop / mobile surface budgets (if applicable)

Define surface-specific budgets using the reference table:

Desktop:

MetricStarting point
Cold start≤ 2 s
Memory (idle / active)≤ 200 MB / ≤ 500 MB
Installer size≤ 100 MB
Window resize repaint≤ 16 ms (60 fps)

Mobile:

MetricStarting point
Cold launch≤ 1.5 s
Warm launch≤ 0.5 s
Battery drain (active)≤ 5 %/hr
Download size≤ 50 MB

Ask: "Do these match your target devices and user expectations?"

Write immediately → .memory/wiki/specs/ENGINEERING-STANDARDS.md § ### Desktop surfaces and/or ### Mobile surfaces

Axis 6 — CI enforcement mapping

For every budget defined in axes 0–5, name the enforcement tool and fail condition.

Budget CategoryEnforcement ToolFail ConditionFail vs. Warn
Web VitalsLighthouse CIScore below thresholdFail
Bundle sizesize-limitExceeds per-page-type capFail
API response timek6 / autocannonp95 exceeds tier targetWarn (fail after baseline)
DB query timepgbench / query timerp95 exceeds tier targetWarn (fail after baseline)
Desktop/mobilePlatform profilerAny metric exceeds thresholdWarn

Ask: "For API and DB budgets, should CI fail immediately or warn-then-fail after a baseline run?"

Write immediately → .memory/wiki/specs/ENGINEERING-STANDARDS.md § ### CI Enforcement

Closing Summary

Summarise all confirmed performance budgets. Ask: "Any axis you want to tighten, loosen, or add?"

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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