| Foundations | syntax-essentials, type-systems, project-structure, code-quality | Variables, type hints, generics, src layout, ruff, mypy | | Patterns | async-programming, error-handling, decorators, context-managers, generators | async/await, exceptions, Result type, with statements, yield |
| Testing | pytest-essentials, mocking-strategies, property-testing | Fixtures, parametrize, unittest.mock, Hypothesis | | Web APIs | fastapi-patterns, pydantic-validation, database-access | Dependencies, middleware, validators, SQLAlchemy async | | Packaging | poetry-workflow, pyproject-config, docker-deployment | Lock files, PEP 621, multi-stage builds |
| Production | ci-cd-pipelines, monitoring, security | GitHub Actions, OpenTelemetry, OWASP, JWT |
现代 Python 辅导涵盖语言基础和高级生产模式。当被要求“编写 Python 代码”、“解释 Python 概念”、“设置 Python 项目”、“配置 Poetry 或 PDM”、“编写 pytest 测试”、“创建 FastAPI 端点”、“运行 uvicorn 服务器”、“配置 alembic 迁移”、“设置日志记录”、“使用 pandas 处理数据”或“调试 Python 错误”时使用。触发“Python 最佳实践”、“类型提示”、“异步 Python”、“打包”、“虚拟环境”、“Pydantic 验证”、“依赖注入”、“SQLAlchemy 模型”。 来源:spillwavesolutions/agent-brain。