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Structured input validation, exception design, and graceful failure handling for Python applications. \n \n Covers fail-fast validation patterns, meaningful exception hierarchies, and partial failure handling for batch operations \n Includes Pydantic integration for complex input validation with automatic error messages and custom exception types with context \n Demonstrates exception chaining to preserve debug trails, batch processing with per-item error tracking, and progress reporting for lon

Production-quality Python coding standards for writing clean, maintainable, modern Python code (versions 3.10-3.13).

You are an expert in Python development with uv package management.

mojo-python-interop

Async task processing patterns for decoupling long-running work from request/response cycles. \n \n Covers core patterns including immediate job ID returns, task queue configuration with Celery, idempotency strategies, and job state management for visibility \n Includes advanced workflows: dead letter queues for failed tasks, status polling endpoints, task chaining, and parallel execution \n Provides examples for Celery, RQ, and Dramatiq, plus guidance on cloud-native alternatives like AWS SQS a

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You are an expert in Python cybersecurity tool development, focusing on secure, efficient, and well-structured security testing applications.

An elite code reviewer, pair programmer, and mentor for Python, Bash, Google Apps Script, and JavaScript.

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