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CodePolice: AI-Powered Code Review for Bitbucket Repositories

CodePolice: AI-Powered Code Review for Bitbucket Repositories

A few months ago, I found myself drowning in pull requests. As a developer, I understand the importance of thorough code reviews, but reviewing each pull request manually was time-consuming and often inconsistent. Sometimes, minor issues slipped through the cracks, and at other times, reviews took longer than necessary.

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Then a thought struck me: why not use AI to review pull requests?

CodePolice was born out of our company-organized hackathon, where I worked on building an AI-powered solution to automate code reviews. Seeing the potential of AI in streamlining pull request evaluations, I developed CodePolice to make the process faster, more efficient, and consistent.

Introducing CodePolice 👮‍♂️

CodePolice is an AI-powered code review bot designed to maintain high code quality standards for Bitbucket repositories. By leveraging cutting-edge AI models like Anthropic Claude, CodePolice analyzes pull requests, provides intelligent feedback, and even determines whether to approve the changes or request modifications.

Key Features:

  • Automated AI Code Reviews — Runs comprehensive reviews using multiple AI models.
  • Seamless Bitbucket Integration — Hooks directly into pull request workflows.
  • Customizable Review Criteria — Tailor rules and checks based on project needs.
  • Multi-Language Support — Works with various programming languages.
  • Automated Approval or Change Requests — Speeds up review cycles with smart decisions.

How CodePolice Works

Setting up CodePolice is simple:

  1. Clone the GitHub Repository
  2. Install dependencies
  3. Set up API keys of Anthropic Claude
  4. Run the server and configure Bitbucket webhooks
  5. Let AI handle your pull request reviews!

Whenever a new pull request is submitted, CodePolice:

  • Analyzes the changes using AI models
  • Adds comments with relevant feedback
  • Approve or request changes based on pre-configured rules

This ensures faster reviews, consistent feedback, and an overall improvement in code quality.

Why CodePolice?

Traditional code reviews can be slow and inconsistent. CodePolice offers:

  • Speed: AI-powered analysis completes in seconds, reducing manual effort.
  • Consistency: Objective, rule-based reviews eliminate human bias.
  • Scalability: Handles multiple pull requests simultaneously without bottlenecks.
  • Customization: Fine-tune AI feedback to align with your coding standards.

By automating code reviews, developers can focus more on writing great code instead of spending hours on repetitive review tasks.

##The Future of AI-Powered Code Reviews With CodePolice, I’ve seen firsthand how AI can transform the development workflow. But this is just the beginning! Future improvements will include:

  • Support for GitHub & GitLab integration
  • More AI models for enhanced accuracy
  • Advanced code style enforcement
  • Interactive feedback loops for developers

If you’re tired of spending too much time on code reviews, give CodePolice a try and let AI handle the heavy lifting!

Get Started with CodePolice Want to try it out? CodePolice is open-source!

🔗 GitHub Repository

💬 Have questions or suggestions? Feel free to reach out: santoshashgowda@gmail.com

Let’s revolutionize code reviews with AI!

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