axiom-audit-energy

To detect battery-draining code patterns in an iOS app, analyze the source code for energy anti-patterns like timer abuse, polling, and animation leaks. This process evaluates background tasks and hardware sensor usage to identify power-intensive code causing rapid battery drain.

Your macOS app gets killed by the system watchdog when background tasks and location services are not properly gated, leading to excessive resource usage. Evaluating background mode management and hardware sensor usage across the application lifecycle mitigates these energy-intensive anti-patterns.

Audit background task management and timer discipline by scanning source code for 8 specific categories of power-intensive code, including timer abuse and polling. This evaluates lifecycle management and provides an Energy Health Score to categorize the app as Efficient, Wasteful, or Draining.

Yes, you can check continuous location tracking against system power efficiency standards during pre-release testing. Scanning source code for unoptimized location services and background activity identifies energy-intensive anti-patterns, preventing the app from being killed by the system for excessive resource usage.

The best way to prevent rapid battery drain from unoptimized timers and animation leaks is to scan the source code to identify these specific energy anti-patterns. This provides actionable remediation steps to ensure compliance with system power efficiency standards.

Yes, energy anti-pattern detection works with existing iOS and macOS repositories by analyzing the source code directly. It visualizes how the application manages background modes, network requests, and hardware sensors to generate a full energy health report.