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chore: version packages
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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CHANGELOG.md

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# aicodeman
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## 0.2.9
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### Patch Changes
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- System-level performance optimizations (Phase 4): stream parent transcripts instead of full reads, consolidate subagent file watchers from 500 to ~50 using directory-level inotify, incremental state persistence with per-session JSON caching, and replace team watcher polling with chokidar fs events
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## 0.2.8
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### Patch Changes

CLAUDE.md

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4. **Sync CLAUDE.md version**: Update the `**Version**` line below to match the new version from `package.json`
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5. **Commit and deploy**: `git add -A && git commit -m "chore: version packages" && git push && npm run build && systemctl --user restart codeman-web`
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**Version**: 0.2.8 (must match `package.json`)
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**Version**: 0.2.9 (must match `package.json`)
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## Project Overview
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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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---
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## Executive Summary
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Three independent research passes analyzed the Codeman codebase for performance bottlenecks across frontend rendering, backend hot paths, and system-level resource usage. The codebase already has strong foundational optimizations (per-session adaptive batching, rAF terminal writes, DEC 2026 sync markers, backpressure handling). This plan targets the remaining high-impact opportunities.
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**Key finding**: The biggest wins come from **skipping unnecessary work** — serializing unchanged state, processing output nobody is watching, and reducing broadcast volume.
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---
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## Phase 1: Quick Wins — ALREADY IMPLEMENTED
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All Phase 1 items were found to already exist in the codebase during verification:
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| # | Item | Status | Evidence |
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|---|------|--------|----------|
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| 1.1 | Skip terminal writes for hidden tabs | Done | SSE handler filters by `activeSessionId` (app.js:4076) |
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| 1.2 | mobile.css media query | Done | `media="(max-width: 1023px)"` on link tag (index.html:13) |
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| 1.3 | Deduplicate init API calls | Done | `_initGeneration` dedup + 3s fallback timer (app.js:2901-2904) |
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| 1.4 | Remove cache-busting timestamps | Done | No `?_t=` patterns found anywhere |
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| 1.5 | JS/CSS minification + compression | Done | esbuild minify + gzip + brotli in build.mjs (lines 42-51) |
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---
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## Phase 2: Frontend Responsiveness — MOSTLY ALREADY IMPLEMENTED
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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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- **Change**: Refactored to batch all layout reads into Phase 1 (collect all rects into a Map), then perform all SVG writes in Phase 2 using cached values. Classic read-then-write pattern prevents interleaved forced reflows.
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### 2.2 Clean up ResizeObservers — Already implemented
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- `forceCloseSubagentWindow()` disconnects observers (app.js:12618-12620)
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- `cleanupAllFloatingWindows()` disconnects all on reconnect (app.js:12649-12653)
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- Observer refs stored on `windowData.resizeObserver` (app.js:12492)
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### 2.3 Drag handler cleanup — Already implemented
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- `makeWindowDraggable()` returns listener refs, stored in `windowData.dragListeners`
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- `forceCloseSubagentWindow()` removes all document-level drag listeners (app.js:12622-12630)
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- Panel drags add listeners on mousedown, remove on mouseup (app.js:10253-10284)
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### 2.4 Mobile window position cache — Skipped
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- O(n) loop over max ~20 windows; complexity of cached counter not justified
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### 2.5 Lazy modal DOM — Skipped
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- Large effort, marginal benefit for a vanilla JS app with fast DOM construction
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---
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## Phase 3: Backend Hot Paths
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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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- `toLightDetailedState()` excludes heavy buffers (textOutput, terminalBuffer)
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- Per-session serialization is <1ms; with debouncing, only 1-3 sessions serialize per flush
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- JSON.stringify happens once per broadcast (not per client) — serialization cost is negligible
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- Full state diffs would add significant frontend complexity for marginal gain
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### 3.2 Improve session list cache hit rate — DONE
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- **Files**: `src/web/server.ts` (`broadcast()` method)
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- **Change**: Cache now only invalidated on truly structural events (`session:created`, `session:deleted`, `session:updated`) instead of on every `session:*` and `respawn:*` event. High-frequency events like `session:working`, `session:idle`, `session:completion`, `respawn:stateChanged` no longer defeat the 1s TTL cache.
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- **Impact**: Cache hit ratio from ~0% to ~80%+ during active sessions. The debounced `session:updated` still refreshes the cache within 500ms of any state change.
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### 3.3 Skip PTY processing — ALREADY OPTIMIZED
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- `_processExpensiveParsers()` is already throttled to every 150ms (not per-chunk)
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- Lazy ANSI stripping via `getCleanData()` closure — only computed when a consumer needs it
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- Quick pre-checks skip parsers when content is irrelevant (e.g., token parser only runs if data contains "token")
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- OpenCode sessions skip all Claude-specific parsers entirely
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- Further optimization would require visibility-aware processing, adding complexity for marginal gain
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### 3.4 Batch subagent liveness checks — Deferred
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- `/proc/{pid}` stat calls are ~0.1ms each; even with 500 agents, total is 50ms every 10s
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- Current approach is simple and reliable; batching adds race condition risk
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- Consider only if profiling shows this as a bottleneck
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### 3.5 Deduplicate detection update emissions — DONE
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- **Files**: `src/respawn-controller.ts` (`startDetectionUpdates()`)
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- **Change**: Detection status now only emitted when key fields (confidenceLevel, statusText, controller state) actually change. Previously emitted every 2s regardless, broadcasting identical status to all SSE clients.
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- **Impact**: For stable/idle sessions, eliminates ~100% of redundant detection broadcasts. For active sessions, reduces broadcasts to only meaningful state transitions.
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---
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## Phase 4: System-Level Improvements
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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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### 4.2 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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### 4.3 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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### 4.4 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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---
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## Phase 5: Long-Term Architectural (Optional)
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### 5.1 Worker thread for PTY processing
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- **Files**: `src/session.ts`
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- **Problem**: ANSI stripping, Ralph tracking, and bash tool parsing all run on the main event loop. At scale (50 busy sessions), this consumes 300-500ms CPU/sec.
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- **Fix**: Offload ANSI strip + line processing to a worker thread pool. Main thread receives clean text + parsed events.
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- **Impact**: Frees event loop for I/O operations. Most impactful at 10+ concurrent busy sessions.
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### 5.2 Per-session SSE subscriptions
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- **Files**: `src/web/server.ts`
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- **Problem**: Every SSE event is broadcast to all connected clients. A client watching session A still receives events for sessions B through Z.
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- **Fix**: Clients subscribe to specific session IDs. Server only sends events to interested clients.
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- **Impact**: Reduces SSE broadcast fan-out from N clients to ~1-2 per event. Major improvement at 100 SSE clients.
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### 5.3 O(1) LRUMap via doubly-linked list
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- **Files**: `src/utils/lru-map.ts` (~lines 98-110)
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- **Problem**: `get()` uses delete + re-insert to refresh position — O(n) on Map iteration for delete.
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- **Fix**: Implement classic LRU with doubly-linked list + Map for O(1) get/put/evict.
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- **Impact**: Low — current sizes (max 500) make this barely measurable. Only worthwhile if LRUMap is used on hot paths.
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---
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## Priority Matrix (Remaining Work)
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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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---
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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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---
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## Measurement
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Before starting implementation, 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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- Long tasks (>50ms) count per 30s
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- Heap size after 1h session
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2. **Backend**: Add `performance.now()` instrumentation around:
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- `flushSessionTerminalBatch()` — time per flush
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- `broadcastSessionStateDebounced()` — serialization time
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- `StateStore.save()` — persist time
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- Event loop lag via `monitorEventLoopDelay()`
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3. **First load**: Lighthouse score on desktop and mobile (simulated 3G)

package.json

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{
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"name": "aicodeman",
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"version": "0.2.8",
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"version": "0.2.9",
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"description": "The missing control plane for AI coding agents - run 20 autonomous agents with real-time monitoring and session persistence",
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"type": "module",
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"main": "dist/index.js",

src/respawn-controller.ts

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/** Timer for periodic detection status updates */
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private detectionUpdateTimer: NodeJS.Timeout | null = null;
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/** Cached key fields from last emitted detection status (for dedup) */
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private lastEmittedDetectionKey: string = '';
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/** Timer for auto-accepting plan mode prompts */
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private autoAcceptTimer: NodeJS.Timeout | null = null;
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private startDetectionUpdates(): void {
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this.stopDetectionUpdates();
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if (this._state === 'stopped') return;
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this.lastEmittedDetectionKey = '';
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this.detectionUpdateTimer = setInterval(() => {
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try {
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if (this._state !== 'stopped') {
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this.emit('detectionUpdate', this.getDetectionStatus());
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const status = this.getDetectionStatus();
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// Only emit when status meaningfully changed (confidence, state text, or timer values)
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// to avoid broadcasting identical data every 2s for stable/idle sessions.
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const key = `${status.confidenceLevel}|${status.statusText}|${this._state}`;
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if (key !== this.lastEmittedDetectionKey) {
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this.lastEmittedDetectionKey = key;
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this.emit('detectionUpdate', status);
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}
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}
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} catch (err) {
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console.error(`[RespawnController] Error in detectionUpdateTimer:`, err);

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