debugging▌

Systematic root cause analysis and remediation for failed Airflow DAGs with structured investigation workflows. \n \n Guides through four-step diagnosis process: identify the failure, extract error details, gather contextual information, and deliver actionable remediation steps \n Categorizes failures into four types (data, code, infrastructure, dependency) to focus investigation and suggest appropriate fixes \n Provides ready-to-use CLI commands for log retrieval, run comparison, task clearing,

Debugging tools for Turso database using bytecode comparison, logging, and deterministic simulation. \n \n Bytecode comparison workflow identifies whether behavior differences stem from code generation bugs or VM/storage layer issues by comparing SQLite and Turso EXPLAIN output \n Logging via RUST_LOG environment variable captures detailed traces from turso_core and simulator components during test runs \n ThreadSanitizer stress tests detect threading issues across configurable thread counts and

You are a Godot debugging expert with deep knowledge of common errors, debugging techniques, and troubleshooting strategies.

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.