Tools: โ„น๏ธ INFO LL-309: Iron Condor Optimal Control (+2 more)

Tools: โ„น๏ธ INFO LL-309: Iron Condor Optimal Control (+2 more)

๐Ÿ—บ๏ธ Today's Fix Flow ## ๐Ÿ“Š Today's Metrics ## โ„น๏ธ INFO LL-318: Claude Code Async Hooks for Performance ## ๐Ÿšจ What Went Wrong ## โœ… How We Fixed It ## ๐Ÿ’ป The Fix ## ๐Ÿ“ˆ Impact ## ๐Ÿš€ Code Changes ## ๐Ÿ’ป Featured Code Change ## ๐ŸŽฏ Key Takeaways Wednesday, January 28, 2026 (Eastern Time) Building an autonomous AI trading system means things break. Here's how our AI CTO (Ralph) detected, diagnosed, and fixed issues todayโ€”completely autonomously. Session startup and prompt submission were slow due to many synchronous hooks running sequentially. Each hook blocked Claude's execution until completion. Add "async": true to hooks that are pure side-effects (logging, backups, notifications) and don't need to block execution. json { "type": "command", "command": "./my-hook.sh", "async": true, "timeout": 30 } YES - Make Async: - Backup scripts (backup_critical_state.sh) - Feedback capture (capture_feedback.sh) - Blog generators (auto_blog_generator.sh) - Session learning capture (capture_session_learnings.sh) - Any pure logging/notification hook NO - Keep Synchronous: - Hooks that Reduced startup latency by ~15-20 seconds by making 5 hooks async. The difference between & at end of command (shell background) vs "async": true: - Shell & detaches completely, may get killed - "async": true runs in managed background, respects timeout, proper lifecycle - capture_feedback.s These commits shipped today (view on GitHub): From commit ed96582f: ๐Ÿ’ฌ Found this useful? Star the repo or drop a comment! Templates let you quickly answer FAQs or store snippets for re-use. Are you sure you want to ? It will become hidden in your post, but will still be visible via the comment's permalink. as well , this person and/or COMMAND_BLOCK: flowchart LR subgraph Detection["๐Ÿ” Detection"] D1["๐ŸŸข LL-309: Iron Co"] D2["๐ŸŸข LL-318: Claude "] D3["๐ŸŸข Ralph Proactive"] end subgraph Analysis["๐Ÿ”ฌ Analysis"] A1["Root Cause Found"] end subgraph Fix["๐Ÿ”ง Fix Applied"] F1["4bb655b"] F2["ed96582"] F3["69e61fc"] end subgraph Verify["โœ… Verified"] V1["Tests Pass"] V2["CI Green"] end D1 --> A1 D2 --> A1 D3 --> A1 A1 --> F1 F1 --> V1 F2 --> V1 F3 --> V1 V1 --> V2 COMMAND_BLOCK: flowchart LR subgraph Detection["๐Ÿ” Detection"] D1["๐ŸŸข LL-309: Iron Co"] D2["๐ŸŸข LL-318: Claude "] D3["๐ŸŸข Ralph Proactive"] end subgraph Analysis["๐Ÿ”ฌ Analysis"] A1["Root Cause Found"] end subgraph Fix["๐Ÿ”ง Fix Applied"] F1["4bb655b"] F2["ed96582"] F3["69e61fc"] end subgraph Verify["โœ… Verified"] V1["Tests Pass"] V2["CI Green"] end D1 --> A1 D2 --> A1 D3 --> A1 A1 --> F1 F1 --> V1 F2 --> V1 F3 --> V1 V1 --> V2 COMMAND_BLOCK: flowchart LR subgraph Detection["๐Ÿ” Detection"] D1["๐ŸŸข LL-309: Iron Co"] D2["๐ŸŸข LL-318: Claude "] D3["๐ŸŸข Ralph Proactive"] end subgraph Analysis["๐Ÿ”ฌ Analysis"] A1["Root Cause Found"] end subgraph Fix["๐Ÿ”ง Fix Applied"] F1["4bb655b"] F2["ed96582"] F3["69e61fc"] end subgraph Verify["โœ… Verified"] V1["Tests Pass"] V2["CI Green"] end D1 --> A1 D2 --> A1 D3 --> A1 A1 --> F1 F1 --> V1 F2 --> V1 F3 --> V1 V1 --> V2 CODE_BLOCK: { "type": "command", "command": "./my-hook.sh", "async": true, "timeout": 30 } CODE_BLOCK: { "type": "command", "command": "./my-hook.sh", "async": true, "timeout": 30 } CODE_BLOCK: { "type": "command", "command": "./my-hook.sh", "async": true, "timeout": 30 } COMMAND_BLOCK: #!/usr/bin/env python3 """RAG Evaluation Script. Runs evaluation queries against the RAG system and generates a report. Usage: python scripts/evaluate_rag.py # Run with defaults (k=5) python scripts/evaluate_rag.py --k 10 # Top 10 results python scripts/evaluate_rag.py --verbose # Show detailed per-query results python scripts/evaluate_rag.py --save # Save report to JSON Created: January 28, 2026 """ import argparse COMMAND_BLOCK: #!/usr/bin/env python3 """RAG Evaluation Script. Runs evaluation queries against the RAG system and generates a report. Usage: python scripts/evaluate_rag.py # Run with defaults (k=5) python scripts/evaluate_rag.py --k 10 # Top 10 results python scripts/evaluate_rag.py --verbose # Show detailed per-query results python scripts/evaluate_rag.py --save # Save report to JSON Created: January 28, 2026 """ import argparse COMMAND_BLOCK: #!/usr/bin/env python3 """RAG Evaluation Script. Runs evaluation queries against the RAG system and generates a report. Usage: python scripts/evaluate_rag.py # Run with defaults (k=5) python scripts/evaluate_rag.py --k 10 # Top 10 results python scripts/evaluate_rag.py --verbose # Show detailed per-query results python scripts/evaluate_rag.py --save # Save report to JSON Created: January 28, 2026 """ import argparse - Autonomous detection works - Ralph found and fixed these issues without human intervention - Self-healing systems compound - Each fix makes the system smarter - Building in public accelerates learning - Your feedback helps us improve