Summary
This covers the fundamentals you need to get logging right: structured JSON formats, proper log levels (DEBUG through FATAL), contextual data like request IDs, and PII redaction. It includes practical examples for distributed tracing, centralized logging setups, and log sampling for high-volume services. The best practices section is solid, especially the warnings about not logging sensitive data and avoiding console.log in production. Most useful when you're setting up logging infrastructure from scratch or auditing what you already have. The TypeScript examples are clean, though you'll need to adapt them to your language and existing logger library.
Install to Claude Code
npx -y skills add aj-geddes/useful-ai-prompts --skill logging-best-practices --agent claude-codeInstalls into .claude/skills of the current project.
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
Files
SKILL.md
Select a file.
Featured
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
