# Phase 76: Mode Learning And Route Reuse - Context

**Gathered:** 2026-04-11
**Status:** Implemented and verified
**Mode:** Third implementation phase for `v1.48`

<domain>
## Phase Boundary

Continue `v1.48` by turning strategy-memory rows into a durable learned-route
surface.

This phase must:

- derive `mode_learning.active.json|md` from strategy-memory rows
- surface learned route and lane preferences through runtime/status/current-topic/session-start
- keep watchlisted hotspots inside budget

</domain>

<decisions>
## Implementation Decisions

### Locked decisions

- reuse `strategy_memory.jsonl` as the single source for learned route and lane guidance
- expose learned mode guidance as a durable artifact rather than folding it back into hidden queue heuristics
- keep mode learning distinct from collaborator profile and research trajectory

### the agent's Discretion

- exact scoring rule for preferred lane
- which concise route summaries are most useful as restart guidance

</decisions>

<canonical_refs>
## Canonical References

- `.planning/REQUIREMENTS.md`
- `research/knowledge-hub/knowledge_hub/mode_learning_support.py`
- `research/knowledge-hub/tests/test_aitp_service.py`
- `research/knowledge-hub/tests/test_schema_contracts.py`

</canonical_refs>

<code_context>
## Existing Code Insights

- helpful and harmful strategy-memory rows already existed, so the missing piece was durable projection, not new raw storage
- `runtime_bundle_support.py` was still under a tight watch budget, so the phase favored extracted helper logic plus thin wiring

</code_context>

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*Phase: 76-mode-learning-and-route-reuse*
*Context captured on 2026-04-11 after Phase 76 implementation and verification*
