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affaan-m

Тестирование на Python - это стратегии тестирования, которые используют pytest, TDD и покрытие кода для обеспечения качества кода.

affaan-m

Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.

udecode

Reviews Python code with an extremely high quality bar for Pythonic patterns, type safety, and maintainability. Use after implementing features, modifying code, or creating new Python modules.

pydantic

A minimal, secure Python interpreter written in Rust for use by AI

wyattowalsh

Data Extraction (from https://stats.nba.com) and Processing Scripts to Produce the NBA Database on Kaggle (https://kaggle.com/wyattowalsh/basketball)

corv89

Human-in-the-loop execution for LLM agents

dennislee928

Simulations of the Ethical Riemann Hypothesis (ERH), which states that in a "healthy" moral judgment system, the error in predicting critical misjudgments gr...

ryanallen

an operations system for teams that orchestrates specialized AI agents through the design process

Tendo33

Use when implementing project tasks that need consistent coding standards, verification, and frontend stack defaults.

UndiFineD

SQLAlchemy and database patterns for Python. Triggers on: sqlalchemy, database, orm, migration, alembic, async database, connection pool, repository pattern, unit of work.

martinholovsky

Backend services development with Python emphasizing security, performance, and maintainability for JARVIS AI Assistant

narumiruna

Use when building or structuring Python CLI commands with Typer, including commands, options, and multi-command apps.