Python FastAPI Cursor Rules (.mdc) | Free & Offline

Production-grade architectural rulebook for Python FastAPI & Pydantic v2. Engineered to eliminate LLM hallucinations, enforce strict deterministic conventions, and prevent architectural drift across Cursor IDE, Claude Code CLI, and autonomous multi-agent pipelines.

Target Path
.cursor/rules/fastapi.mdc
Execution Scope
Glob Pattern Auto-Match
Specification Format
Frontmatter MDC (.mdc)
AI Tool Support
Cursor IDE & Composer
02 / DRIFT ANALYSIS & VALUE PROPOSITION

Failure Patterns Prevented for Python FastAPI & Pydantic v2

Without This Rule (Default LLM Behavior)Vulnerable

FastAPI with Pydantic v2 requires `model_validator` instead of `@root_validator`, Field annotations, and strict async I/O. Without rules, AI models blend outdated Pydantic v1 syntax and synchronous database calls inside async handlers.

Hallucination Symptoms
  • Invokes deprecated or removed APIs from older model training weights
  • Generates conflicting configuration files and invalid imports
  • Silently drops type-safety, boundaries, or transaction isolation
With This Rule (Guaranteed Invariants)Deterministic
Use strict Pydantic v2 BaseModels with Field validation for all input and output schemas.
Use asynchronous route handlers (`async def`) for database operations and external API requests.
Inject dependencies using FastAPI `Depends` pattern; avoid global state.
Type annotate 100% of function signatures with Python 3.12+ type hints.
03 / VERIFIED CODE PATTERNS

Code Standards: Anti-Pattern vs Verified Implementation

Discouraged Anti-Pattern
@app.post("/users")
def make_user(data: dict):
    # Missing types, sync blocking query
    return db.query(data["email"])
Verified Production Standard
from fastapi import APIRouter, Depends, HTTPException
from pydantic import BaseModel, Field

router = APIRouter()

class UserPayload(BaseModel):
    email: str = Field(..., min_length=5)

@router.post("/users")
async def create_user(payload: UserPayload, db = Depends(get_db)):
    return await db.users.create(payload.model_dump())
04 / REPOSITORY PLACEMENT & 3-STEP TERMINAL INSTALLATION

How to Install Python FastAPI & Pydantic v2 Cursor Rules (.mdc) via Terminal

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Step 1: Open Project Directory & Verify Target Placement

Open your terminal and navigate to your project root folder where the .cursor/rules/fastapi.mdc file will reside. Ensure the file is placed at the exact path below relative to your project root so the AI engine automatically loads it:

.cursor/rules/fastapi.mdc
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Step 2: Fetch Rule File via Terminal Command

Run curl, PowerShell, or wget to stream the rule directly from the DevScratchpad raw API endpoint and write it to .cursor/rules/fastapi.mdc:

Terminal One-Liner Install

Run directly in your project root to stream and write this rule file with one command.

Raw API Stream
$mkdir -p ".cursor/rules" && curl -fsSL "https://www.devscratchpad.tech/api/raw/cursor-rules/fastapi" -o ".cursor/rules/fastapi.mdc"
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Step 3: Verify and Activate with AI Agent

Launch your AI coding assistant (Cursor IDE & Composer). The assistant will automatically discover .cursor/rules/fastapi.mdc in your repository and apply the architectural guardrails, type constraints, and verification protocols during code generation.

05 / ROUTE DIRECTORY & CROSS-TOOLING
Format Pillar HubComprehensive Manual

Cursor Rules (.mdc) Directory & Generator

Inspect the complete specification manual, glob patterns, directory rules, and all available presets in our central directory.

/cursor-rules Directory
06 / FREQUENTLY ASKED QUESTIONS

Technical FAQ: Python FastAPI & Pydantic v2 AI Rulebooks

Does this enforce Pydantic v2 syntax?

Yes, it specifically enforces `model_dump()`, `@field_validator`, and Pydantic v2 idioms.