Unify Logging Across Microservices
Standardize logging formats and practices across all services for better observability
$5 free credits β’ Pay-as-you-go β’ Works with your existing tools
The problems you face today
How it works
Analyze current logging patterns across services
Define unified logging standards and formats
Implement standardization across all services
Validate log correlation and searchability
Key capabilities
Technical implementation
Intelligent File Discovery
Multi-stage AI workflow identifies relevant files for your logging-standardization
- Root folder selection based on task
- Targeted regex pattern groups
- LLM analyzes actual file contents
- Automatic dependency detection
- Files organized into XML for LLM consumption
Multi-Model Planning
Generate multiple implementation approaches using different AI models, then synthesize the best solution
- OpenAI GPTβ5 family (GPTβ5 and GPTβ5 Thinking/Pro), historical oβseries (e.g., o3 variants); Anthropic Claude Sonnet 4 and Opus 4.1; Google Gemini 2.5 Pro β availability and features vary by plan and endpoint (ChatGPT vs API).
- AI architect merges best insights
- Your guidance shapes the merge
Use official vendor docs to confirm features like streaming, function calling, and background mode for each model.
Quick setup for your workflow
Install Vibe Manager
Download for your platform. Launches in seconds, no complex setup.
Connect your tools
Integrates with Claude Code, Cursor, Codex CLI and more.
Start planning
$5 free credits to start. Generate your first implementation plan in under a minute.
Available for macOS & Windows β’ $5 free credits
What developers achieve
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Ready to transform your logging-standardization?
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