ai-code-review and AutoReviewer

ai-code-review
53
Established
AutoReviewer
43
Emerging
Maintenance 10/25
Adoption 7/25
Maturity 16/25
Community 20/25
Maintenance 0/25
Adoption 8/25
Maturity 16/25
Community 19/25
Stars: 32
Forks: 27
Downloads:
Commits (30d): 0
Language: JavaScript
License: MIT
Stars: 50
Forks: 17
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
No Package No Dependents
Stale 6m No Package No Dependents

About ai-code-review

AleksandrFurmenkovOfficial/ai-code-review

AI Code Review is a lightweight, simple GitHub Action that supports various AI models to analyze and provide feedback on your code. This GitHub Action helps improve code quality by automatically reviewing pull requests, focusing on specified file extensions, and excluding specific paths.

This GitHub Action helps software developers improve their code quality by automatically reviewing pull requests. It takes the code changes from a pull request and uses various AI models to provide feedback on potential issues. The primary users are developers and engineering teams looking to streamline their code review process and maintain high coding standards.

code-review software-development developer-tools version-control quality-assurance

About AutoReviewer

gvasilei/AutoReviewer

Use LLMs to perform automatic code reviews.

This tool helps software developers streamline their code review process by automating feedback on new code. It takes a new Pull Request as input and outputs suggested changes and improvements, just like a human reviewer would. Developers can get consistent, AI-powered feedback directly within their GitHub workflow.

software-development code-review developer-workflow DevOps GitHub-automation

Scores updated daily from GitHub, PyPI, and npm data. How scores work