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Specification Quality Checklist: Choose Your Backend

Purpose: Validate specification completeness and quality before proceeding to planning Created: 2026-03-15 Feature: spec.md

Content Quality

  • No implementation details (languages, frameworks, APIs)
  • Focused on user value and business needs
  • Written for non-technical stakeholders
  • All mandatory sections completed

Requirement Completeness

  • No [NEEDS CLARIFICATION] markers remain
  • Requirements are testable and unambiguous
  • Success criteria are measurable
  • Success criteria are technology-agnostic (no implementation details)
  • All acceptance scenarios are defined
  • Edge cases are identified
  • Scope is clearly bounded
  • Dependencies and assumptions identified

Feature Readiness

  • All functional requirements have clear acceptance criteria
  • User scenarios cover primary flows
  • Feature meets measurable outcomes defined in Success Criteria
  • No implementation details leak into specification

Notes

  • All items pass validation after clarification session. Spec is ready for implementation planning.
  • The spec references "ADK" and "Agent Framework" as product names (not implementation details) - these are the user-facing backend choices.
  • Backend-specific YAML section names (google_adk:, agent_framework:) appear in acceptance scenarios as user-facing configuration syntax, not implementation details.
  • Clarification session (2026-03-15) resolved 5 questions: embedding abstraction, tool type scope, embedding provider patterns, provider naming, and dependency stability posture.
  • Codebase risk analysis confirmed: chat/test executors require zero changes (properly abstracted); tool_initializer.py requires embedding protocol refactor; ProviderEnum routing is the primary integration point.