# pyright

This rule guides Pyright and basedpyright setup for Python projects. Use it to shape stricter type checks and consistent annotation practices.

- rule · `type=rule` · Cursor · ★ 3580
- Author: sanjeed5
- License: CC0-1.0 · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/sanjeed5/awesome-cursor-rules-mdc/tree/HEAD/rules-mdc/pyright.mdc
- Updated: 2026-05-19
- HTML: https://affpapa.org/en/nevibecode/rules/pyright

## What it does

The rule covers project configuration, strict diagnostics, and type hints. It recommends keeping settings in `pyrightconfig.json` or `pyproject.toml`, starting with a baseline, then tightening checks in stages. For function inputs, it favors abstract types; for outputs, concrete ones.

Other guidance addresses `Any`, diagnostic suppression comments, type aliases, and modern hint syntax. A `stubs/` directory can hold custom types for libraries without inline annotations. The rule also calls for virtual environments and configuring Pyright to locate them. Strict checks mean existing errors need fixing or explicit handling.

## Install

### Cursor (native platform)

**Manually: put the files in place**
- File: `.cursor/rules/pyright.mdc` — Frontmatter: description, globs, alwaysApply

### Claude Code

**Manually: put the files in place**
- File: `.claude/rules/pyright.md` — The paths frontmatter field limits the files: move globs from the source into paths

### Codex

**AGENTS.md**
- Codex reads AGENTS.md: paste the rule text there

### GitHub Copilot

**Manually: put the files in place**
- File: `.github/instructions/pyright.instructions.md` — The applyTo field sets which files it applies to: move globs from the source into applyTo

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/rules/pyright.md`

### Cline

**Manually: put the files in place**
- File: `.clinerules/pyright.md`

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/sanjeed5/awesome-cursor-rules-mdc/tree/HEAD/rules-mdc/pyright.mdc

## When to use it
- set project-level Python type-checking rules
- replace unnecessary `Any` annotations with `object`
- attach a specific error code to suppressed diagnostics
- declare type aliases with `TypeAlias`
- maintain stubs for libraries without inline types

## Example prompts
- Apply the pyright rule when reviewing type hints in my Python project.
- Check `src` for places where `Any` could be replaced with `object`.
- Suggest a `pyrightconfig.json` setup for stricter type checks.

## Source text · pyright.mdc · CC0-1.0

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: d2c3a93e708f81dd.

BEGIN THIRD-PARTY FILE d2c3a93e708f81dd
````text
---
description: This guide provides definitive, actionable best practices for configuring and using pyright (and basedpyright) to ensure robust, type-safe Python codebases in 2025.
globs: **/*.py
---
# pyright Best Practices

`pyright` is the definitive static type-checker for modern Python, essential for "type-first" development. We standardize on `basedpyright` for its stricter defaults and enhanced diagnostics, ensuring our codebase remains consistently type-clean.

## 1. Project-Wide Configuration

Always define a `pyrightconfig.json` (or `[tool.pyright]` in `pyproject.toml`) at your project root. Commit this file to version control to guarantee consistent type-checking across all developer environments and CI pipelines. Start with a baseline, fix errors, then progressively tighten rules.

❌ **BAD**: No config file, relying on default `pyright` behavior.
✅ **GOOD**: Explicitly define your type-checking rules.

```json
// pyrightconfig.json
{
  "include": ["src"],
  "exclude": ["**/node_modules", "**/__pycache__"],
  "reportMissingTypeStubs": "error",
  "reportAny": "error", // basedpyright specific, essential
  "reportExplicitAny": "error", // basedpyright specific, essential
  "reportImplicitRelativeImport": "error", // basedpyright specific
  "reportInvalidCast": "error", // basedpyright specific
  "reportUnsafeMultipleInheritance": "error", // basedpyright specific
  "strict": [ // Apply strict mode to specific directories
    "src/core",
    "src/models"
  ],
  "stubPath": "stubs" // Where custom type stubs live
}
```

## 2. Strict Diagnostics & `Any` Usage

Embrace strict diagnostics to eliminate implicit `Any` types and enforce explicit type declarations. `basedpyright`'s `reportAny` and `reportExplicitAny` are non-negotiable for maintaining a truly type-safe codebase.

### Prefer `object` over `Any`

Use `object` when a function truly accepts *any* Python object, but its type isn't relevant to its operation (e.g., for `str()`, `repr()`, or passing to a callback that ignores its argument). Reserve `Any` only when the type system *cannot* express the intent.

❌ **BAD**: Overusing `Any`, disabling type checks.

```python
from typing import Any

def process_data(data: Any) -> Any: # Type checking effectively disabled
    print(str(data))
    return data
```

✅ **GOOD**: Using `object` for truly generic inputs, `Any` only when necessary.

```python
from typing import Any, Callable

def process_data(data: object) -> object: # Accepts any object, but type is known
    print(str(data))
    return data

def call_callback(cb: Callable[[int], object]) -> None: # Callback return value is ignored
    cb(42)

# Use Any only when absolutely no specific type can be expressed
def dynamic_factory(name: str) -> Any: # Return type is truly unknown at static analysis time
    if name == "int": return 1
    if name == "str": return "hello"
    return None
```

### Explicit Error Codes for Ignores

Always specify the exact `pyright` error code when suppressing diagnostics. This prevents accidentally ignoring other, unrelated errors on the same line and improves maintainability. `basedpyright`'s `reportIgnoreCommentWithoutRule` enforces this.

❌ **BAD**: Generic type ignores.

```python
import os

# type: ignore # What error is this ignoring?
path = os.getenv("MY_PATH")
```

✅ **GOOD**: Specific `pyright` ignore comments.

```python
import os
from typing import cast

# pyright: ignore[reportGeneralTypeIssues] # path might be None, but we know it's not
path = cast(str, os.getenv("MY_PATH"))
```

## 3. Type Aliases

Declare type aliases using `TypeAlias` for clarity and consistency. This makes the intent explicit and helps `pyright` understand your type definitions.

❌ **BAD**: Implicit type aliases.

```python
MyDict = dict[str, int] # Looks like an alias, but isn't explicitly declared
```

✅ **GOOD**: Explicit `TypeAlias` declaration.

```python
from typing import TypeAlias

MyDict: TypeAlias = dict[str, int]
```

## 4. Arguments and Return Types

### Function Arguments: Prefer Protocols and Abstract Types
````
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