tegwick
0da4701bd0
Assistant: codex Assistant-Model: gpt-6-astra Assistant-Session: 01a0e241-8285-7a63-8c0c-51c9cb824dc3
76 lines
3.6 KiB
Markdown
76 lines
3.6 KiB
Markdown
---
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id: capability.infotech.frontend-pattern-language
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name: Frontend architecture pattern reference
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summary: Reason about frontend shared edits, offline recovery, navigation and rendering with versioned candidate patterns, alternatives and evidence limits.
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owner: frontend-patterns
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status: draft
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domain: infotech
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tags: [frontend, architecture, patterns, offline, mutation, recovery, navigation, rendering]
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maturity:
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discovery:
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current: D3
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target: D4
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confidence: medium
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rationale: Two bounded decision sequences, qualified source reviews, alternatives and explicit gaps; ecosystem usefulness remains unverified.
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availability:
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current: A0
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target: A0
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confidence: high
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rationale: Informational Markdown and JSON reference; no frontend runtime or service offered.
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external_evidence:
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completeness:
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level: C1
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confidence: medium
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basis: scope_vs_intent_and_consumer_expectations
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satisfied_expectations: [two core decision paths and seventeen qualified candidate records]
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broken_expectations: []
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out_of_scope_expectations: [complete implementation recipes and production guarantees]
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reliability:
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level: R0
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confidence: high
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basis: consumer_quality_signals
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known_reliability_risks: [no measured ecosystem consumer outcomes, full-contract recurrence unassessed]
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discovery:
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intent: Help a consumer turn frontend constraints into a small explainable configuration and implementation questions.
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includes: [transactional edit recovery, local offline work, candidate relations, mechanism mappings, stated abstention boundaries]
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excludes: [complete security architecture, offline global exclusivity, framework rankings, certified production recipes]
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assumptions: [consumer checks applicability and implementation contracts, draft hypotheses retain their evidence limits]
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use_cases: [VC-01, VC-02]
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research_memos: [research/reviews/M1-SeedReview.md, research/reviews/PreviewOntology-0.1.md]
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availability:
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current_level: A0
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target_level: A0
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current_artifacts: [START.md, reference/0.1/index.json, reference/0.1/manifest.json]
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target_artifacts: []
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consumption_modes: [informational, markdown, json]
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relations:
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depends_on: []
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supports: []
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related_to: []
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evidence:
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documentation: [START.md, reference/0.1/ReleaseReview.md, docs/ReuseAndImprovementLoop.md]
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tests: [tests/test_reference_preview.py]
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consumer_feedback: []
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bug_reports: []
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incidents: []
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consumer_guidance:
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recommended_for: [frontend architectural decision notes, reviewing shared-edit and offline-recovery assumptions]
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not_recommended_for: [claiming canonical maturity or production guarantees, treating a match score as applicability proof]
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known_limitations: [all candidates are hypotheses, no independent human usefulness result, use feedback automation not deployed]
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promotion_history: []
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---
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# Frontend architecture pattern reference
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Start at [the decision guide](../../START.md). Pin the reference version and packaging
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commit, inspect the candidate contracts, and cite selected IDs and unresolved conditions
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in your decision note. The [JSON export](../../reference/0.1/index.json) supports agent
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navigation; it is a research candidate surface, not an admitted canonical graph.
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Qualified extension hypotheses cover navigation, rendering and feature/interaction
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boundaries. Their presence does not imply a complete sequence for those contexts.
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The [reuse and improvement contract](../../docs/ReuseAndImprovementLoop.md) defines
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how consumer decisions and later outcomes will improve this language. Receipt collection
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and unattended improvement require WP-0008 implementation; do not imply that recording
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`reused` in registry telemetry already measures helpfulness.
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