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@@ -6,11 +6,13 @@ Transform any Python idea into a production-ready project in minutes. This Cooki
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## Why Choose This Template?
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-**Zero Configuration Hassle**: Get a fully configured development environment instantly
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-**Production Ready**: Battle-tested tools and patterns used in real-world applications
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-**Incredibly Flexible**: Mix and match features to create exactly what you need
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-**Modern Standards**: Uses the latest Python tooling and best practices
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-**Enterprise Grade**: Scales from weekend projects to mission-critical applications
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-**Modern Development Tools**: Get a fully configured environment with Ruff (formatting/linting), mypy (type checking), pytest (testing), and pre-commit hooks ready to use
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-**Production-Ready Frameworks**: Optional integration with FastAPI (web APIs), Celery (distributed tasks), SQLAlchemy + Alembic (database ORM), and QuasiQueue (multiprocessing)
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-**Professional Infrastructure**: Includes Docker containerization, GitHub Actions CI/CD, Pydantic Settings for configuration, and Makefile automation
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-**Developer-Friendly CLI**: Optional Typer integration for building beautiful command-line interfaces with automatic help and shell completion
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-**AI Ready**: Pre-configured AGENTS.md file following the open standard compatible with Cursor, Aider, GitHub Copilot, and other AI coding assistants
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-**Incredibly Flexible**: Mix and match features to create exactly what you need, from simple libraries to full web applications with automatic cleanup of unused code
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-**Modern Python Standards**: Python 3.10+ with async/await support, type hints, contemporary best practices, and pyproject.toml configuration
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## Quick Start
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- Enterprise-grade distributed task queue for processing millions of tasks per day, with support for task prioritization, routing, and complex workflows using chains, groups, and chords
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-Battle-tested[Redis](https://redis.io/) broker configuration with connection pooling, automatic retries, and result backend for storing task outcomes and enabling result retrieval
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-Production-proven[Redis](https://redis.io/) broker configuration with connection pooling, automatic retries, and result backend for storing task outcomes and enabling result retrieval
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- Pre-configured worker and scheduler (beat) containers for running periodic tasks like cron jobs, with separate deployments for different task types and priorities
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- Automatic task retry mechanisms with exponential backoff, task revocation, rate limiting, and comprehensive error handling for building resilient asynchronous systems
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