37 lines
1.2 KiB
Markdown
37 lines
1.2 KiB
Markdown
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# Sprint 63 Plan: Learned Adapter Hints (Non-Authoritative)
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## Context
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The system can learn from historical review outcomes, but learned behavior must
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remain bounded by deterministic policy and explicit governance.
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---
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## Goals
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1. Introduce learned suggestion layer for adapter decisions
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2. Keep learned hints non-authoritative by default
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3. Measure whether hints reduce review load and divergence rates
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4. Add rollback controls for bad hint generations
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---
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## Steps
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### Step 859: Hint feature extraction from decision ledgers (12 tests)
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### Step 860: Pair-specific hint model interface (10 tests)
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### Step 861: Deterministic fallback contract when hints unavailable (10 tests)
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### Step 862: Hint confidence + uncertainty packet format (10 tests)
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### Step 863: A/B harness for hint effectiveness (10 tests)
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### Step 864: Hint rollback and suppression controls (8 tests)
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### Step 865: `whetstone_get_adapter_hints` MCP tool (8 tests)
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### Step 866: `whetstone_set_hint_policy` MCP tool (8 tests)
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### Step 867: Hint safety guardrails and audit fields (8 tests)
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### Step 868: Sprint 63 integration summary + regression (8 tests)
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---
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## Governance Rule
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- Learned hints may suggest; deterministic policy decides.
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