logging

A developer argues that voice call logs must include cost and token data, not just duration and status, to properly assess voice-agent economics, sharing a lesson from a stress test where cost fields were initially null.

Cursor introduces Debug Mode, which lets the AI agent instrument code, collect runtime logs, and fix bugs based on actual evidence instead of guessing, improving accuracy and handling hard-to-reproduce issues.

Superlog is a product that helps make your product bug-free.

Discusses the difference between observability (logging agent actions) and governance (blocking prohibited actions before execution), emphasizing that teams often conflate them and should treat them as separate problems with separate tooling.

This article describes a new feature that allows users to tail CI logs over SSH using a terminal user interface, requiring no installation and handling ANSI codes correctly.

Superlog is a self-installing observability tool that automatically instruments code, groups errors, and uses AI agents to investigate and fix bugs, aiming to reduce alert fatigue and manual setup.

Comie.dev provides a production context for AI applications, integrating logs, databases, and error tracking.

A blog post detailing a minimal pattern for adding error context in Zig using errdefer logging, comparing it to full diagnostics sinks and catch blocks, and discussing tradeoffs.

spdlog is a fast, header-only or compiled C++ logging library with support for various sinks, asynchronous mode, and custom formatting. It is widely used and available via major package managers.