tgo Dev log #7: The Hubris of Moving Too Fast and How AI Erased My Hardest Win

Short summary

Author shares critical lesson from tgo project: using multiple concurrent AI agents without committing working code led to losing a successful compilation fix due to AI context degradation. AI tools like Cursor lack rich state understanding and cannot reconcile complex changes without immutable Git history as reference. Takeaway: enforce stricter Git discipline when using AI—commit frequently, use feature branches, maintain audit trails.

• •Multiple concurrent AI agents without version control caused loss of working code due to context window limits and token summarization
• •AI tools cannot maintain rich state understanding; they need immutable Git history to reference working changes and avoid hallucination
• •Enforce strict Git discipline when using AI—commit on every win, use feature branches, prioritize audit trail over speed

Generated with AI, which can make mistakes.