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hacker-saran/production-fastapi-template

Analysis updated 2026-05-18

1PythonAudience · developerComplexity · 3/5Setup · moderate

TLDR

A ready made FastAPI backend template with organized code layers and automated code quality checks.

Mindmap

mindmap
  root((FastAPI Template))
    What it does
      Backend starter kit
      Feature-first layout
      Automated quality gates
    Tech stack
      Python
      FastAPI
      uv and Ruff
    Use cases
      Start new API projects
      Enforce code quality
      Guide AI coding assistants
    Audience
      Developers
      Backend engineers

Code map

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filefunction / class

What do people build with it?

USE CASE 1

Start a new backend API project with an organized, feature based folder structure already in place.

USE CASE 2

Automatically lint, format, and type check code before every commit.

USE CASE 3

Block pushes to a shared repository if the automated test suite fails.

USE CASE 4

Give an AI coding assistant structured docs so it writes code matching the project's conventions.

What is it built with?

PythonFastAPIPydanticuvRuffMyPypytest

How does it compare?

hacker-saran/production-fastapi-template0xustaz/streamgatea-bissell/unleash-lite
Stars111
LanguagePythonPythonPython
Setup difficultymoderatehardhard
Complexity3/54/54/5
Audiencedeveloperdeveloperresearcher

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Requires Python 3.12 or newer and the uv package manager.

In plain English

This project is a ready made starting point for building a backend web API using FastAPI, a popular Python framework for building web services. Instead of setting up a new project from scratch, a developer can copy this template and get a well organized, production style structure right away, along with automated checks that help keep the code clean and reliable. The template organizes code by feature, meaning each business capability lives in its own self contained folder rather than being spread across shared files. Inside each feature, a request flows through clear layers: a router that only handles incoming web requests and validates their shape, a service layer that contains the actual business rules, and a repository layer that talks to the database. A separate schemas file defines the exact shape of data coming in and going out, and a core package holds shared concerns like configuration, error handling, logging, and security. A notable part of this template is a docs folder specifically written to help AI coding assistants, such as Gemini, Cursor, or GitHub Copilot, understand the project's structure and conventions so they can generate code that fits in correctly on the first attempt. These documents describe the technology choices, the file layout rules, coding style standards, and how git branches and commits should be named. The template also sets up automated Git hooks, small scripts that run at certain points in the development workflow. Before a commit is created, the code is automatically linted and formatted with a tool called Ruff and type checked with MyPy. Before code is pushed to a shared repository, the full automated test suite runs with pytest, blocking the push if anything fails. Setup uses the uv package manager to install Python dependencies, and the project requires Python 3.12 or newer to run.

Copy-paste prompts

Prompt 1
Walk me through setting up this FastAPI template with uv and running the dev server.
Prompt 2
Explain the router, service, and repository layers in this template's architecture.
Prompt 3
Show me how the pre-commit and pre-push git hooks work in this project.
Prompt 4
Help me add a new feature module following this template's feature-first structure.
Prompt 5
Explain how the docs folder helps AI coding assistants work with this codebase.

Frequently asked questions

What is production-fastapi-template?

A ready made FastAPI backend template with organized code layers and automated code quality checks.

What language is production-fastapi-template written in?

Mainly Python. The stack also includes Python, FastAPI, Pydantic.

How hard is production-fastapi-template to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is production-fastapi-template for?

Mainly developer.

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