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poimen-workflows/tasks/board-T2.md
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Test 9315fa6d32 feat(T2.1): implement activity result caching
- Add internal/cache package for deduplicating activity results
- Implement ResultCache with MD5 hash-based cache keys
- Support cache by activity type, task ID, input hash, model ID
- Configurable max size with FIFO eviction policy
- TTL support for automatic expiration
- Persistence to JSON for recovery across runs
- Query operations: by activity type, by task ID
- Hit rate tracking and statistics
- 13 cache tests, all passing

Features:
- ComputeHash() for input deduplication
- Set/Get operations with TTL support
- Invalidation by activity type or task ID
- Cache stats with usage ratio
- Full cache clear
- Disk persistence with JSON storage
- Hit rate calculation

Performance:
- Avoids redundant LLM calls
- Reduces API costs
- Faster workflow execution
- Configurable eviction policies

Test Coverage:
- 13 cache tests (set/get, TTL, eviction, persistence)
- Hit rate calculation verified
- Invalidation tested
- Multi-entry scenarios

Next: T2.2 (Parallel task dispatch)
2026-08-23 17:15:10 -07:00

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# Task Board — Milestone T2: Scale & Performance
**Submilestone:** T2 (Distributed execution, caching, performance optimization)
| ID | Scope | Status | Branch | Verification |
|----|-------|--------|--------|--------------|
| T2.1 | Activity result caching: deduplicate repeated LLM calls for same task state | [x] | `task/T2.1` | Implementer called 2x on same code → second call returns cached Implementer output |
| T2.2 | Parallel task dispatch: multiple T0.x tasks execute truly concurrently (not sequential) | [ ] | `task/T2.2` | 9 tasks complete in ~1/9 total time (wall-clock speedup measured) |
| T2.3 | Prompt template caching: pre-compile Go templates on worker startup | [ ] | `task/T2.3` | Template render latency < 100ms (vs parse+render each time) |
| T2.4 | Lessons file indexing: fast lookup of past failures without full file scan | [ ] | `task/T2.4` | Query lessons by task type → return in < 10ms for 1000s of entries |
| T2.5 | Git operation batching: combine multiple worktree commits into single push/merge | [ ] | `task/T2.5` | N tasks → 1 push (vs N pushes), measured via git ref-log |
| T2.6 | LLM request batching: group similar Implementer calls into one API request | [ ] | `task/T2.6` | 3 implementer tasks → 1 Anthropic API call with batch input (vs 3 separate calls) |
| T2.7 | Workflow history pruning: trim old task unit outputs from orchestrator history | [ ] | `task/T2.7` | Continue-as-new cycle history size constant despite 1000s of task units completed |
| T2.8 | Distributed lock optimization: replace flock with Redis/etcd for multi-pod scenarios | [ ] | `task/T2.8` | 5 concurrent orchestrators on different pods share FS safely via distributed lock |
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## Submission Criteria
All T2.1T2.8 marked `[x]` → submilestone complete → squash-merge `task/T2.*` to main.