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Update Policy

Purpose

This policy keeps the guide current without chasing every trend. Updates should improve decision quality, not merely add new tools.

Review cadence

AreaCadenceWhat to check
React and renderingQuarterlyRSC, compiler, framework caching, streaming, server actions, hydration guidance.
Web performanceQuarterlyWeb Vitals definitions, thresholds, measurement guidance, browser changes.
AccessibilityTwice yearlyWCAG updates, browser/assistive technology guidance, component pattern changes.
Browser security/privacyQuarterlyCSP, Trusted Types, cookies, storage, passkeys, CORS, privacy changes.
AI/GenUI/MCP/A2AMonthly while volatileProtocol changes, SDK behavior, security concerns, eval practices, production patterns.
Local source-derived contentTwice yearlyGaps, stale examples, shallow chapters, missing exercises.

Update workflow

  1. Identify the chapter and source dependency.
  2. Verify current primary sources for unstable topics.
  3. Decide whether the change affects advice, examples, checklists, diagrams, or rubrics.
  4. Update source lens or source-map notes when source dependency changes.
  5. Run build and content checks.
  6. Add backlog items for follow-up rather than bloating the current change.

Material change threshold

Update a chapter when one of these is true:

  • A platform API, framework behavior, protocol, or metric changed.
  • Existing guidance could lead to production risk.
  • A chapter lacks enough decision criteria, failure modes, or verification steps.
  • A capstone no longer reflects realistic production constraints.
  • A review packet misses a common failure mode seen in incidents or modern practice.

Non-goals

  • Do not add every new framework.
  • Do not rewrite chapters for style churn only.
  • Do not make AI topics sound stable when the ecosystem is still shifting.
  • Do not replace durable architecture principles with vendor-specific recipes.