🐛 Bugfix: How to fix 0% outcome tracking to enable actual learning?

📋 Decision Context

Question:

How to fix 0% outcome tracking to enable actual learning?

Task: Session 42: Fix outcome tracking for MCP supercharge

🎯 Decision Made

Chosen:

Added auto-initialization of outcomeTracker.startPeriodicValidation() in server.ts main(), reduced check interval from 1hr to 5min, added early check scheduling (30s, 2min, 5min, 15min) after decisions, and implemented build/test result detection by monitoring NX cache

Options Considered:

• No alternatives documented

💭 Reasoning

The outcome tracker service existed but was never started - startPeriodicValidation() was never called. Additionally, the 1-hour check interval was too slow for meaningful feedback. By adding early scheduled checks and build/test monitoring, we can now detect outcomes within minutes of decisions being made, enabling the learning loop to actually close.

📁 Files Involved

• MCP/mcp-gograb-ai/src/server.ts
• MCP/mcp-gograb-ai/src/services/outcome-tracker.service.ts

🔗 Related

• Decision ID: dev_1768420332443_yv463go
• Session: 43
• Workspace: editor2

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