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.
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
Files
SKILL.md
Select a file.
Featured
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
