69 plugins for Fastapi development
Build production-grade async Python backends and APIs with FastAPI and Django using expert guidance on architecture patterns, SQLAlchemy integration, pytest testing strategies, ruff optimization, and deployment best practices.
Orchestrate 36 specialized AI agents and 281 skills to automate full-stack development workflows: plan/implement features with parallel subagents, generate/run tests, review PRs, enforce code quality/security via hooks, coordinate git worktrees, and produce demos/docs in React/Python/FastAPI stacks.
Run autonomous full-stack dev workflows in Claude Code: generate PRDs/specs via interviews, execute Ralph/autodev loops for overnight PRD implementation with git branching/testing/committing, parallelize tasks across 12 agents (architect, frontend-dev, code-reviewer), build React/Tailwind/shadcn UIs and FastAPI backends, TDD/E2E test/verify/review code, automate git commits/PRs, and audit harness health.
Establishes opinionated Python 3.11+ engineering standards with SOLID principles, strict typing, pytest testing, ruff linting; automates TDD workflows, routes to specialists for CLI apps (Typer/Rich/Textual), web APIs (FastAPI/Flask/Django), data pipelines, packaging, code reviews, and PyPI CI/CD deployment.
Build modern Python web apps with Django and FastAPI, define SQLAlchemy models and Alembic migrations, write pytest tests, debug errors, and review code quality using specialized agents that orchestrate database tasks and full codebase reviews.
Generate AI videos from text prompts or images using Kling AI API in Python. Build scalable production pipelines with async Redis queues, batch processing, rate limiting, webhooks, monitoring, cost controls, content filters, security audits, cloud storage uploads, and CI/CD integration.
Orchestrate autonomous multi-agent sprints to develop full features from specs.md: agents handle architecture, parallel implementation of Next.js frontends and Python/FastAPI backends, CI/CD setup, automated testing, UI QA, reviews, and iterative convergence with structured reports and git safety.
Orchestrate autonomous multi-agent sprints from specs.md: project architect spawns parallel agents to implement Python/FastAPI backends, Next.js frontends, CI/CD pipelines, automated tests, UI validation, and convergent reviews until production-ready code finalizes. Setup projects, generate maps, resume/clean sprints.
Build production Python 3.13+ projects with async FastAPI apps, pytest testing, uv packaging, Ruff linting, GitHub Actions CI/CD, Cloudflare Workers deployment, and Modal serverless for GPU-accelerated video pipelines using OpenCV and FFmpeg.
Sync Postman collections with API codebases like Express, FastAPI, Django, Go, and Rails; generate OpenAPI specs, typed client SDKs, mocks, and docs; run CLI tests, send requests, discover APIs, audit security against OWASP, and evaluate AI agent-readiness—all powered by Postman MCP server in Claude Code.
Build production Python applications on Azure using SDK best practices for AI agents and ML pipelines, content analysis and multimodal processing, vector/hybrid search, hierarchical storage and queues, event streaming with Event Hubs and Service Bus, OpenTelemetry monitoring, secure authentication and key management, plus infrastructure provisioning.
Develop high-performance FastAPI APIs with async route handlers for CPU/IO and database tasks, dependency injection for modular reusable services, and Pydantic v2 validation for type-safe requests and responses.