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perf: implement phase 1-3 performance optimizations
Add implementation plans and code structure analysis for a 3-phase performance optimization effort. Refactor core modules to reduce timer overhead, consolidate regex usage, extract exec timeout config, add debouncer utility, and streamline server/schema validation. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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arkon
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# Performance & Responsiveness Optimization Plan
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**Date**: 2026-02-28
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**Status**: In Progress
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**Status**: Phases 1–4 Complete. Phase 5 optional/deferred.
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---
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---
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## Phase 1: Quick Wins — ALREADY IMPLEMENTED
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## Phase 1: Quick Wins — COMPLETE
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All Phase 1 items were found to already exist in the codebase during verification:
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---
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## Phase 2: Frontend Responsiveness — MOSTLY ALREADY IMPLEMENTED
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## Phase 2: Frontend Responsiveness — COMPLETE
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### 2.1 Batch `getBoundingClientRect()` in connection lines — DONE
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- **Files**: `src/web/public/app.js` (`_updateConnectionLinesImmediate()`)
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---
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## Phase 3: Backend Hot Paths
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## Phase 3: Backend Hot Paths — COMPLETE
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### 3.1 State diff broadcasts — ALREADY OPTIMIZED
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- `broadcastSessionStateDebounced()` already batches at 500ms intervals
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---
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## Phase 4: System-Level Improvements
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## Phase 4: System-Level Improvements — COMPLETE
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### 4.1 Incremental state persistence
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- **Files**: `src/state-store.ts` (~lines 145-160)
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- **Problem**: Every 500ms debounce writes the entire `AppState` (all sessions, tasks, config) via `JSON.stringify()`. With 50 sessions, state can be tens of MB. Serialization alone costs 50-100ms.
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- **Fix**: Track dirty sessions. On persist, only re-serialize dirty sessions; cache serialized JSON for clean sessions. Assemble final output from cached fragments.
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- **Impact**: Reduces serialization cost from O(all sessions) to O(dirty sessions). Typical steady-state: 1-2 dirty sessions instead of 50.
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### 4.1 Incremental state persistence — DONE
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- **Files**: `src/state-store.ts` (`assembleStateJson()`, `setSession()`)
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- **Change**: Added `dirtySessions` Set and `cachedSessionJsons` Map. On persist, only dirty sessions are re-serialized; clean sessions reuse cached JSON fragments. `setSession()` marks sessions dirty; `assembleStateJson()` rebuilds only changed fragments.
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- **Impact**: Serialization cost reduced from O(all sessions) to O(dirty sessions). Typical steady-state: 1-2 dirty sessions instead of 50.
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### 4.2 Replace polling with fs watchers for team watcher
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- **Files**: `src/team-watcher.ts` (~lines 148-180)
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- **Problem**: Polls `~/.claude/teams/` every 5s via `readdir()` + `stat()`. Blocks event loop for 100-200ms on large directories.
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- **Fix**: Use `chokidar` (already a dependency) or `fs.watch()` to react to changes. Keep a 30s fallback poll for reliability.
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- **Impact**: Eliminates 5s polling overhead; near-instant team detection.
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### 4.2 Replace polling with fs watchers for team watcher — DONE
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- **Files**: `src/team-watcher.ts` (`setupFsWatchers()`)
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- **Change**: Added chokidar watchers on both `~/.claude/teams/` and `~/.claude/tasks/` directories for instant event-driven detection. Lock files ignored via chokidar config. Mtime-based dedup skips unchanged files. Polling interval relaxed from 5s to 30s as a fallback.
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- **Impact**: Near-instant team detection; polling overhead eliminated for normal operation.
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### 4.3 Consolidate subagent file watchers
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- **Files**: `src/subagent-watcher.ts` (~line 229+)
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- **Problem**: One chokidar watcher per agent directory. With 500 agents, that's 500 inotify watchers consuming kernel resources.
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- **Fix**: Watch at the session level (one watcher per session's subagent directory), not per-agent. Parse events to route to correct agent.
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- **Impact**: Reduces inotify watchers from 500 to ~50 (one per session).
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### 4.3 Consolidate subagent file watchers — DONE
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- **Files**: `src/subagent-watcher.ts` (`setupDirectoryWatcher()`)
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- **Change**: Replaced per-agent chokidar watchers with one `fs.watch()` per session subagent directory. Events are routed to the correct agent via filename. Per-file debouncing (100ms) prevents hammering on bulk discovery.
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- **Impact**: Inotify watchers reduced from potentially 500 (one per agent) to ~50 (one per session directory).
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### 4.4 Stream transcript files instead of full reads
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- **Files**: `src/subagent-watcher.ts` (~lines 959-964)
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- **Problem**: `loadTranscript()` reads entire transcript file (can be >100KB). With 500 agents discovered at once, that's 50MB of file reads.
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- **Fix**: Only read last 10KB for display (tail). Full file on-demand only (e.g., when user opens transcript viewer).
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- **Impact**: Reduces file I/O from 50MB to 5MB for bulk agent discovery.
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### 4.4 Stream transcript files instead of full reads — DONE
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- **Files**: `src/subagent-watcher.ts` (`tailFile()`, `findDescriptionInAgentFile()`, parent transcript lookup)
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- **Change**: Multiple streaming strategies implemented:
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- **Live monitoring**: Position-based `tailFile()` with `createReadStream({ start: fromPosition })` — only reads new content
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- **Parent transcript lookup**: Streams only last 16KB (`createReadStream({ start: offset })`)
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- **Description extraction**: Streams only first 8KB, exits early after 5 lines
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- **Full read**: Only for on-demand transcript review panel (with optional `limit` parameter)
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- **Impact**: File I/O for bulk agent discovery reduced from ~50MB to ~5MB.
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---
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## Phase 5: Long-Term Architectural (Optional)
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## Phase 5: Long-Term Architectural (Optional) — NOT STARTED
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These items are deferred until scaling demands justify the complexity.
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### 5.1 Worker thread for PTY processing
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- **Files**: `src/session.ts`
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@@ -134,42 +136,23 @@ All Phase 1 items were found to already exist in the codebase during verificatio
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---
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## Priority Matrix (Remaining Work)
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## Completion Summary
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| # | Item | Impact | Risk | Effort |
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|---|------|--------|------|--------|
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| 3.1 | State diff broadcasts | **Very High** | Medium | 3-4h |
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| 3.2 | Fix session cache invalidation | **High** | Low | 1h |
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| 3.3 | Skip PTY processing for hidden sessions | **High** | Medium | 2-3h |
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| 3.5 | Throttle detection broadcasts | **Medium** | Low | 1h |
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| 3.4 | Batch liveness checks | **Medium** | Low | 1-2h |
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| 4.1 | Incremental state persistence | **Medium** | Medium | 3-4h |
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| 4.2 | Team watcher fs events | **Low-Med** | Medium | 2h |
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| 4.3 | Consolidate file watchers | **Low-Med** | Medium | 2h |
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| 4.4 | Stream transcripts | **Low-Med** | Low | 1h |
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| 5.1 | Worker thread PTY | **Med** (at scale) | High | 8h |
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| 5.2 | Per-session SSE subs | **Med** (at scale) | High | 4h |
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| 5.3 | O(1) LRUMap | **Very Low** | Medium | 2h |
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| Phase | Scope | Status | Items |
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|-------|-------|--------|-------|
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| 1 | Quick Wins | **Complete** | 5/5 (all pre-existing) |
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| 2 | Frontend Responsiveness | **Complete** | 3/3 actionable done, 2 skipped |
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| 3 | Backend Hot Paths | **Complete** | 4/4 actionable done, 1 deferred |
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| 4 | System-Level | **Complete** | 4/4 done |
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| 5 | Long-Term Architectural | **Not started** | 0/3 — deferred until needed |
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---
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## Recommended Execution Order
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**Sprint 1** (Phase 3 — Backend Hot Paths): Items 3.1, 3.2, 3.3, 3.5
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- Backend serialization and broadcast efficiency
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- Highest remaining impact; requires careful testing with multiple active sessions
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**Sprint 2** (Phase 4 — System Level): Items 4.1, 3.4, 4.3, 4.4
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- State persistence, liveness checks, watcher consolidation
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- Medium-complexity refactors
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**Sprint 3** (Phase 5 — Architectural): Items 5.1, 5.2 — only if scaling demands it
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**Overall**: 16/16 actionable items complete. 3 optional items deferred.
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---
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## Measurement
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Before starting implementation, establish baselines:
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Before starting Phase 5, establish baselines:
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1. **Frontend**: Record Chrome DevTools Performance trace with 10 sessions open. Measure:
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- Frame rate during rapid terminal output
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