engineering

Use when building FastAPI applications, async Python REST APIs, Pydantic V2 schemas, SQLAlchemy async database operations, JWT/OAuth2 authentication, async pytest testing, RFC 9457 error handling, cursor pagination, or API versioning strategies.

Use when building, debugging, or extending MCP servers or clients that connect AI systems with external tools and data sources. Invoke to implement tool handlers, configure resource providers, set up stdio/Streamable HTTP transport, validate schemas with Zod or Pydantic, debug protocol compliance issues, or scaffold complete MCP server/client projects using TypeScript or Python SDKs.

Use when building Python applications requiring type safety, async programming, or robust error handling. Invoke for type hints, PEP 695 generics, async/await with TaskGroup, dataclasses, Pydantic v2, uv packaging, and structured error handling.

Use when implementing infrastructure as code with Terraform on Azure. Invoke for module development (create reusable modules, manage module versioning), state management (Azure Blob backend, import existing resources, resolve state conflicts), provider configuration, multi-environment workflows, and infrastructure testing.