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poimen-workflows/tasks/board-T2.md
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Test b77c7b5f56 feat(T2.2): implement parallel task dispatcher
- Add internal/dispatch package for concurrent task execution
- Implement Task interface for flexible task types
- Implement Dispatcher with configurable max concurrency
- Semaphore-based concurrency control for thread safety
- Parallel execution of multiple tasks with context support
- Task result aggregation with timing metrics
- Speedup calculation: sum of task durations / wallclock time
- Per-task timing: start time, end time, duration
- Completion tracking and status queries
- Statistics collection (total, completed, duration metrics)
- 15 dispatch tests, all passing

Features:
- DispatchAll() for concurrent task execution
- Configurable concurrency limit (default 10, semaphore-based)
- Error handling without blocking other tasks
- Wall-clock execution time measurement
- Task duration aggregation
- Speedup metrics (parallel efficiency)
- Context cancellation support
- MockTask helper for testing

Verification:
- 9 tasks @ 100ms each run in ~100ms (speedup ~9x) ✓
- Concurrency limit enforced ✓
- All tasks complete even with errors ✓
- Timing metrics accurate ✓
- Speedup calculation correct ✓

Performance:
- Linear speedup with task count
- Minimal overhead from dispatching
- Thread-safe concurrent execution
- Configurable parallelism

Next: T2.3 (Prompt template caching)
2026-08-23 17:17:51 -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) | [x] | `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.