Hacker Noon
Decision Logging: The Observability Pattern That Actually Helps AI Agents
Most agent-debugging sessions begin with the same question: Why did the agent do that? Why did it send a notification? Why did it suppress one? Why did it retry the same tool? Why did it act on stale data? Why did a high-confidence…
View original source — Hacker Noon ↗
Related stories
Hacker Noon
TechnologySep 8, 2026 · 1 min
The Hidden Cost of Flat Logs in AI Agent Development
Hacker Noon
Hacker Noon
TechnologySep 7, 2026 · 1 min
Can You Trace an AI Decision Back to the Data That Created It?
Hacker Noon
The Next Web
TechnologySep 7, 2026 · 1 min
AI agent reliability requires a new model of observability
The Next Web
Hacker Noon
TechnologySep 2, 2026 · 1 min
When an AI Cannot Tell a Leak from a Hallucination: A Multi-Model Guardrail Case Study
Hacker Noon