Observability
7 articles about observability.
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.
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.
The Simplest Way to Log Parallel Sub-Agent Conversations
When running 5+ AI agents in parallel with an orchestrator, having each sub-agent write its conversation to a file is the most reliable logging approach.
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.
Stop Building Frameworks, Build Debuggers
The AI agent ecosystem has too many frameworks and not enough debugging tools. A replay viewer showing screenshots alongside reasoning traces would change
127 Silent Judgment Calls Your AI Agent Made in 14 Days
Logging every silent decision an AI agent makes reveals 127 judgment calls in 14 days you never saw. Why decision transparency matters for agent trust.
Building a Visual Wrapper for Claude Code - Why Native macOS Beats the Terminal for Agent Debugging
Claude Code's terminal UI is fast but opaque. Here is why some developers build SwiftUI wrappers to surface tool calls, file diffs, and decision trees as navigable UI instead of scrolling logs.
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