How do you actually debug your AI agents?

Reddit r/AI_Agents News
ai-agents debugging production hallucinations cost-management monitoring

Summary

Developer shares struggles debugging AI agents in production, highlighting issues with hallucinations, regression from prompt changes, and high API costs, asking the community for strategies.

I've been running AI agents in production for 6 months (Cursor, Claude Code, custom Mastra pipelines) and debugging them is still a nightmare. Last week alone: \- An agent silently hallucinated a config value. Caught it 2 days later. \- A regression after updating my prompt — no idea when it broke \- $80 in API costs on a task I thought would cost $8 I'm spending more time reading logs than actually building. How are you handling this? Are you just manually reviewing outputs? Built something internally? Given up and just accepting the chaos? Genuinely curious if this is just me or if it's a shared pain.
Original Article

Similar Articles

I analyzed how 50+ AI teams debug production agent failures and got surprised

Reddit r/AI_Agents

Based on interviews with 50+ AI teams, the author highlights that production agent failures often stem from minor prompt or configuration issues rather than deep model problems. The article advocates for adopting software engineering practices like versioning, A/B testing, and experiment tracking to improve reliability.