What is agentic AI debugging?

Agentic AI debugging means tracing multi-step autonomous agents (like planner-retriever-executor chains) when they fail silently in production, using tools beyond basic logs.

How do I debug AI agents in Docker?

Containerize steps individually, use orchestrators like Step Functions for failure pinning, and tools like LangSmith for full traces — then test in CI.

Are LangSmith and BrainTrust worth it for production AI ?

Yes, if your agents are complex; they beat logs hands-down for chain visibility, but pair with health checks.

🤖 AI Dev Tools

Agentic AI Crashed Your Prod Pipeline – Logs Are a Joke

Reddit's exploding with tales of agentic AI ghosts in production. Silent fails. Useless logs. Time to get real.

theAIcatchup Apr 07, 2026 4 min read

Docker container logs showing failed agentic AI chain with LangSmith trace overlay

⚡ Key Takeaways

Logs fail agentic AI; use traces like LangSmith for chain visibility. 𝕏
Containerize steps, orchestrate with Conductor — isolate fails fast. 𝕏
CI checkpoints turn agent fixes into regression-proof gold. 𝕏

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