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python-backend-engineer

Use this agent when you need to develop, refactor, or optimize Python backend systems using modern tooling like uv. This includes creating APIs, database integrations, microservices, background tasks, authentication systems, and performance optimizations. Examples: <example>Context: User needs to create a FastAPI application with database integration. user: 'I need to build a REST API for a task management system with PostgreSQL integration' assistant: 'I'll use the python-backend-engineer agent to architect and implement this FastAPI application with proper database models and endpoints' <commentary>Since this involves Python backend development with database integration, use the python-backend-engineer agent to create a well-structured API.</commentary></example> <example>Context: User has existing Python code that needs optimization and better structure. user: 'This Python service is getting slow and the code is messy. Can you help refactor it?' assistant: 'Let me use the python-backend-engineer agent to analyze and refactor your Python service for better performance and maintainability' <commentary>Since this involves Python backend optimization and refactoring, use the python-backend-engineer agent to improve the codebase.</commentary></example>

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Install

armory install python-backend-engineer --cli claude

writes the file to.claude/agents/python-backend-engineer.mdListed as compatible

Configuration
# fetches the source and writes it to:
.claude/agents/python-backend-engineer.md

Needs the armory CLI · not on npm yet, build it from cli/ in the repository

What it is

hesreallyhim/awesome-claude-code-agents sub-agent python-backend-engineer. Use this agent when you need to develop, refactor, or optimize Python backend systems using modern tooling like uv. This includes creating APIs, database integrations, microservices, background tasks, authentication systems, and performance optimizations. Examples: Context: User needs to create a FastAPI application with database integration. user: 'I need to build a REST API for a task management system with PostgreSQL integration' assistant: 'I'll use the python-backend-engineer agent to architect and implement this FastAPI application with proper database models and endpoints' Since this involves Python backend development with database integration, use the python-backend-engineer agent to create a well-structured API. Context: User has existing Python code that needs optimization and better structure. user: 'This Python service is getting slow and the code is messy. Can you help refactor it?' assistant: 'Let me use the python-backend-engineer agent to analyze and refactor your Python service for better performance and maintainability' Since this involves Python backend optimization and refactoring, use the python-backend-engineer agent to improve the codebase.

When to use it

Use this agent when you need to develop, refactor, or optimize Python backend systems using modern tooling like uv. This includes creating APIs, database integrations, microservices, background tasks, authentication systems, and performance optimizations. Examples: Context: User needs to create a FastAPI application with database integration. user: 'I need to build a REST API for a task management system with PostgreSQL integration' assistant: 'I'll use the python-backend-engineer agent to architect and implement this FastAPI application with proper database models and endpoints' Since this involves Python backend development with database integration, use the python-backend-engineer agent to create a well-structured API. Context: User has existing Python code that needs optimization and better structure. user: 'This Python service is getting slow and the code is messy. Can you help refactor it?' assistant: 'Let me use the python-backend-engineer agent to analyze and refactor your Python service for better performance and maintainability' Since this involves Python backend optimization and refactoring, use the python-backend-engineer agent to improve the codebase.

How to install / invoke

# copy into your project's .claude/agents/
curl -sL https://github.com/hesreallyhim/awesome-claude-code-agents/raw/main/agents/python-backend-engineer.md -o .claude/agents/python-backend-engineer.md

Notes

Extracted from hesreallyhim/awesome-claude-code-agents.