whyslow-db added to PyPI

A new Python package, whyslow-db, is now available on PyPI. It offers deterministic, evidence-based diagnostics for identifying performance bottlenecks in AI agent incidents, specifically for Aurora Postgres and Puma web servers.
Key takeaways
- New CLI tool for diagnosing AI performance problems
- Focuses on deterministic, evidence-first incident reconstruction
- Supports Aurora Postgres and Puma web server environments
- Aims to improve AI agent reliability and speed
Why it matters
This tool helps developers and AI engineers pinpoint the root causes of performance issues in their AI systems. By providing reproducible incident benchmarks, it enables faster troubleshooting and more reliable AI agent deployments.
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