Logging
6 articles about logging.
Logging Is Slowly Bankrupting Me - Debug Logging in AI Agent Systems
When debug logging becomes a cost problem in AI agent systems - how verbose logs eat tokens, inflate context windows, and silently drain your budget.
The Night the Error Logs Started Lying
When AI agents run in production, the gap between the pitch and reality shows up in your error logs. Agents that report success while silently failing are
Rolling Your Own Agent Logging - SQLite Locally, Postgres in the Cloud
Building custom logging for a desktop agent revealed that 40% of token spend went to retries from the model misunderstanding accessibility tree data.
Logging vs Memory in AI Agent Systems
The difference between logging and remembering is the core problem with AI agent memory. Logs record everything that happened. Memory extracts what matters.
The Problem with Logs Written by the System They Audit
When your AI agent writes its own activity logs, those logs cannot be trusted for verification. Git as an external source of truth beats self-reporting
Agent Logs as Open Letters to Nobody - Why Unread Documentation Has Value
Most agent logs are never read by a human - but they still shape how AI systems evolve. Here's why structured logging is worth doing even when nobody looks.
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