Skip to main content

Codeppr

An AI assisted code review agent that saves you from bad commits by running its analysis during the pre-commit stage.

Features

  • AI Code Analysis: Intelligent code review suggestions.
  • Pre-commit Safety: Catch potential issues before they are committed.

How to install

For a standard install, run:

pip install codeppr

Usage

Once installed, you need to initialize the tool in your repository:

  1. Install Hook: Run this command to set up this tool as a git hook.

    codeppr install
    
  2. Add Api Key: Add api key for a provider (openai, anthropic or gemini).

    codeppr auth login <provider>
    
  3. Automatic Review: The tool will now automatically run and review your changes whenever you try to commit code.

    git commit -m "your message"
    

[!NOTE] The default provider is OpenAI. Switch to Anthropic or Gemini with: codeppr use <provider> <model_name>

You can also manually check available commands with:

codeppr --help

Installing locally (development)

To install the dependencies and set up the project locally for development, run:

Create and activate virtual environment

python -m venv .venv

Install dependencies

pip install .
# OR
uv sync

Metadata

Release files for codeppr 0.1.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for codeppr 0.1.4
File Size Uploaded
codeppr-0.1.4.tar.gz 17.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for codeppr 0.1.4
File Interpreter ABI Platform
codeppr-0.1.4-py3-none-any.whl Python 3 none any Details

Total release size: 37.4 kB

Release files / codeppr-0.1.4.tar.gz

Download URL codeppr-0.1.4.tar.gz
Size 17.6 kB
Tags Source
SHA-256 checksum
How to use checksums
2b85f2b34ec1ad21b90f085a7c4693e866b54ed60b43e14555cff54ff8130285
BLAKE2b-256 checksum
How to use checksums
9fff3fed94cf0339975d4242f0e97edd82423b563b7979d54fa1acc4ada8081d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.12.11

Release files / codeppr-0.1.4-py3-none-any.whl

Download URL codeppr-0.1.4-py3-none-any.whl
Size 19.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
e3d98b612ae5c6ed8768f64d22c612c42d29e781d298d63cda9be55ad10bca21
BLAKE2b-256 checksum
How to use checksums
18d91ca3fa166d04e8129935040ebfc0ef5d4326dc4ab16f88cc3da24238b8b6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.12.11

Release history Release notifications | RSS feed

This release

0.1.4 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page