debugging▌

Performance regressions occur when code changes degrade application performance. Detection and quick resolution are critical.

Use when:

Memory issues manifest as crashes after prolonged use. Core principle 90% of memory leaks follow 3 patterns (retain cycles, timer/observer leaks, collection growth). Diagnose systematically with Instruments, never guess.

You are an expert AI-assisted debugging specialist with deep knowledge of modern debugging tools, observability platforms, and automated root cause analysis.

You are an error tracking and observability expert specializing in implementing comprehensive error monitoring solutions. Set up error tracking systems, configure alerts, implement structured logging, and ensure teams can quickly identify and resolve production issues.

Database performance issues directly impact application responsiveness. Debugging focuses on identifying slow queries and optimizing execution plans.

CAAnimation issues manifest as missing completion handlers, wrong timing, or jank under specific conditions. Core principle 90% of CAAnimation problems are CATransaction timing, layer state, or frame rate assumptions, not Core Animation bugs.

Container debugging focuses on issues within Docker/Kubernetes environments including resource constraints, networking, and application runtime problems.

SwiftUI debugging falls into three categories, each with a different diagnostic approach:

Network debugging identifies connectivity issues, latency problems, and data transmission errors that impact application performance.