Tools: ℹ️ INFO LL-309: Iron Condor Optimal Control (+2 more)

🗺️ Today's Fix Flow ## 📊 Today's Metrics ## ℹ️ INFO LL-318: Claude Code Async Hooks for Performance ## 🚨 What Went Wrong ## ✅ How We Fixed It ## 💻 The Fix ## 📈 Impact ## 🚀 Code Changes ## 💻 Featured Code Change ## 🎯 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 today—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: 💬 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 hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink. Hide child comments as well For further actions, you may consider blocking this person and/or reporting abuse COMMAND_BLOCK: flowchart LR subgraph Detection["🔍 Detection"] D1["🟢 LL-309: Iron Co"] D2["🟢 LL-318: Claude "] D3["🟢 Ralph Proactive"] end subgraph Analysis["🔬 Analysis"] A1["Root Cause Found"] end subgraph Fix["🔧 Fix Applied"] F1["4bb655b"] F2["ed96582"] F3["69e61fc"] end subgraph Verify["✅ Verified"] V1["Tests Pass"] V2["CI Green"] end D1 --> A1 D2 --> A1 D3 --> A1 A1 --> F1 F1 --> V1 F2 --> V1 F3 --> V1 V1 --> V2 Enter fullscreen mode Exit fullscreen mode COMMAND_BLOCK: flowchart LR subgraph Detection["🔍 Detection"] D1["🟢 LL-309: Iron Co"] D2["🟢 LL-318: Claude "] D3["🟢 Ralph Proactive"] end subgraph Analysis["🔬 Analysis"] A1["Root Cause Found"] end subgraph Fix["🔧 Fix Applied"] F1["4bb655b"] F2["ed96582"] F3["69e61fc"] end subgraph Verify["✅ 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["🔍 Detection"] D1["🟢 LL-309: Iron Co"] D2["🟢 LL-318: Claude "] D3["🟢 Ralph Proactive"] end subgraph Analysis["🔬 Analysis"] A1["Root Cause Found"] end subgraph Fix["🔧 Fix Applied"] F1["4bb655b"] F2["ed96582"] F3["69e61fc"] end subgraph Verify["✅ 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 } Enter fullscreen mode Exit fullscreen mode 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 Enter fullscreen mode Exit fullscreen mode 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