Files
infinite/.claude-flow/logs/headless/optimize_1778784967027_jlt9k7_result.log
2026-05-14 21:08:13 +00:00

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[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"
}