open-code-ai-java/.opencode/skill/logging-patterns at main

Load: Ask OpenCode to use the logging-patterns skill

Description

Java logging best practices with SLF4J, structured logging (JSON), and MDC for request tracing. Includes AI-friendly log formats optimized for OpenCode analysis.

Use Cases

"Add logging to this service"
"Debug this flow" (AI reads logs)
"Setup structured logging"
"Why is this request failing?" (analyze logs)
"Add request tracing"

Key Insight: JSON for AI

JSON logs are better for AI/OpenCode analysis:

Aspect	Text Logs	JSON Logs
Parsing	Regex interpretation	Direct field access
Tokens	Higher	Lower
Filtering	grep patterns	jq queries

# AI can easily filter JSON
cat app.log | jq 'select(.requestId == "abc123")'

Topics Covered

Topic	Description
AI-Friendly Logging	JSON formats optimized for OpenCode
Spring Boot 3.4+	Native structured logging support
Logstash Encoder	For Spring Boot < 3.4
SLF4J/MDC	Request context, correlation IDs
Log Levels	When to use ERROR, WARN, INFO, DEBUG
What to Log	Business events, timing, flow steps
What NOT to Log	Passwords, PII, sensitive data

Quick Setup (Spring Boot 3.4+)

logging:
  structured:
    format:
      console: logstash

No extra dependencies needed!

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