Myrkat provides native AI-powered open framework that combines static code analysis (including IaC - Infrastructure As Code) with dynamic production signal analysis to provide engineering teams with clear visibility into code base, code base changes and code behavior in production. This helps engineers stay on top of the code base enabling easier code maintenance and better production stability.

_{Proactive Control & Predictive Intelligence}

The core of Myrkat’s value lies in its proactive capabilities, giving R&D teams the insight needed to stop issues before they affect customers:

1. Automatic, Use Case-Driven Alerting (Detect and Resolve):
   Myrkat continuously monitors live production data and automatically detects performance or functional anomalies. As shown in the alert dashboard, issues—from Critical security alerts and High database connection pool exhaustion to Medium slow query detection—are instantly categorized, prioritized by severity, and tied directly to the specific use case they affect. This eliminates noise and ensures teams address the most critical risks first.
2. Git-Push Prediction (Prevent before Deploying):
   Myrkat analyzes every proposed code change before it is pushed to production. By leveraging its complete understanding of your system's code flows and true production behavior, Myrkat provides a critical prediction of the potential impact your changes will have in production. Development teams receive a clear forecast of performance implications and behavioral shifts, enabling them to fix issues in the pipeline and prevent problems from ever reaching the live environment.

_{High level insights}

• • Continuous Monitoring & Visualization: Myrkat analyzes changes in the code base alongside live production data (e.g., logs, traces) to generate a simple, live visualization of the system in production.
• • Actionable Insights: The main dashboard provides auto-generated use cases, sequence diagrams, in-depth system performance analysis, and critical behavior metrics (i.e., use case performance).
• • Unified Understanding: R&D architects, developers, and managers can effortlessly grasp the System's current flows, active use cases, and production performance.
• • Change Impact Analysis: Myrkat automatically reviews every commit and explicitly highlights changes related to use cases, allowing users to view which use cases were added or modified and the corresponding runtime performance implications on production.

As AI coding accelerates development cycles, Myrkat provides the essential safety net. Myrkat offers commit-by-commit visibility on the impact to main application flows and use cases. This proactive approach ensures that any behavioral shifts—including performance bottlenecks or other issues—are immediately detected and surfaced for quick resolution, preventing production surprises.

Use Case Page