Initial commit

.claude-flow/logs/headless/optimize_1778784967027_jlt9k7_result.log

@@ -0,0 +1,21 @@
+[2026-05-14T18:57:16.103Z] RESULT
+============================================================
+{
+  "success": true,
+  "output": "This project contains no application source code to analyze for the requested performance patterns. Here's what the codebase actually contains:\n\n```\n/home/code/infinite/\n├── package.json          # config only\n├── claude-flow.config.json\n├── CLAUDE.md\n├── data/memory/schema.sql   # the only non-config file\n└── .claude-flow/            # runtime logs/state\n```\n\n**There are no:**\n- React components (no JSX/TSX files) → cannot analyze re-renders\n- ORM/query code (no JS/TS/Python) → cannot find N+1 patterns\n- Application logic → no redundant computations or memory leaks to flag\n- Cache layers in code → no caching opportunities in source\n\nThe only analyzable artifact is `data/memory/schema.sql`, which is the RuFlo V3 SQLite schema for AI agent memory storage. If you'd like, I can review that schema for SQL-level optimizations (missing indexes, inefficient joins, etc.).\n\nTo get a meaningful performance analysis, point me at a repository that contains actual application source code — e.g., a React frontend, a Node/Python backend, or a mobile app.\n",
+  "parsedOutput": {
+    "sections": [],
+    "codeBlocks": [
+      {
+        "language": "text",
+        "code": "/home/code/infinite/\n├── package.json          # config only\n├── claude-flow.config.json\n├── CLAUDE.md\n├── data/memory/schema.sql   # the only non-config file\n└── .claude-flow/            # runtime logs/state"
+      }
+    ]
+  },
+  "durationMs": 69076,
+  "model": "sonnet",
+  "sandboxMode": "permissive",
+  "workerType": "optimize",
+  "timestamp": "2026-05-14T18:57:16.103Z",
+  "executionId": "optimize_1778784967027_jlt9k7"
+}