Worked on the moltbot/moltbot repository to resolve a deadlock in the auto-reply workflow, focusing on improving system responsiveness under high queue depth. Addressed the issue by decoupling transcript processing from reply completion and implementing a fire-and-forget post-delivery transcript mirror, which prevents dispatcher stalls and enhances throughput. Utilized TypeScript for full stack development and incorporated comprehensive regression testing to cover edge cases with queue depths of two and three. Validated the solution live across LMStudio OpenAI completions, Claude CLI, and DeepSeek Cloud backends, resulting in zero stalls and improved reliability for automated replies under heavy load conditions.