I Ran a Health Check on 3 AI Agents. The Results Were Horrifying.

📰 Dev.to AI

Learn how to diagnose and improve the health of AI agents using a diagnostic CLI tool, and why it matters for reliable AI development

intermediate Published 16 May 2026

Action Steps

Run nb doctor v2 against your Python codebase to scan for agent health risks
Configure the diagnostic CLI tool to identify potential issues in your agent code
Test your agent code using the diagnostic tool to detect fragilities
Apply fixes to address the identified health risks and improve the robustness of your AI agent
Compare the results of the diagnostic tool with your expected outcomes to ensure reliability

Who Needs to Know This

AI engineers and developers can benefit from this knowledge to ensure their AI agents are robust and reliable, and DevOps teams can use this to improve the overall health of their AI systems

Key Insight

💡 Regular health checks can help identify and fix fragilities in AI agent code, ensuring more reliable AI development