feat(T2.4): implement fast lessons file indexing
- Add internal/indexing package for lessons index - Implement LessonIndex with multi-field index structure - Index by task type, activity type, failure type, and pattern - Fast lookups: O(1) map access for all query types - Build from JSONL file with streaming parse - Support incremental lesson addition - Query operations with optional AND logic - Time range queries for temporal analysis - Similarity search by failure message substring - Most frequent failures ranking - 20 indexing tests, all passing Features: - FindByTaskType() - query by task type - FindByActivityType() - query by activity type - FindByFailureType() - query by failure type - FindByPattern() - query by pattern - FindSimilar() - substring search in failure messages - QueryMultiple() - AND logic for multi-field queries - GetByTimeRange() - temporal range queries - GetMostFrequentFailures() - ranked by frequency - BuildFromFile() - load from JSONL - AddLesson() - incremental updates Performance Verified: - Lookup < 10ms for 1000s entries ✓ - <10ms for 10,000 entries ✓ - Concurrent queries supported ✓ - O(1) average lookup complexity - Index rebuilding efficient Test Coverage: - 20 indexing tests (build, query, range, stats) - Latency verification (< 10ms) - Concurrency testing - Time range queries - Multi-field queries - Large dataset support (10k entries) Index Structures: - lessons: ID -> Lesson (full lookup) - byTaskType: TaskType -> []*Lesson - byActivityType: ActivityType -> []*Lesson - byFailureType: FailureType -> []*Lesson - byPattern: Pattern -> []*Lesson - All RWMutex-protected for thread safety Next: T2.5 (Git operation batching)
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| 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 |
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| 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) |
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| T2.3 | Prompt template caching: pre-compile Go templates on worker startup | [x] | `task/T2.3` | Template render latency < 100ms (vs parse+render each time) |
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| 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 |
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| T2.4 | Lessons file indexing: fast lookup of past failures without full file scan | [x] | `task/T2.4` | Query lessons by task type → return in < 10ms for 1000s of entries |
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| 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 |
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| 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) |
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| 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 |
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