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📝 Overview

  • Get instant code reviews without waiting for teammates through AI analysis of pull requests under 200 lines
  • Receive specific improvement recommendations for better coding practices from automated code inspection
  • Stay informed about review status across platforms with Slack and Teams notifications for new PRs
  • Maintain code security without storage risks since Coderbuds processes only PR titles, descriptions, and diff files
  • Scale code review capabilities affordably with simple $20 monthly pricing per repository
  • Try risk-free with 14-day satisfaction guarantee and full refund if not satisfied

⚖️ Pros & Cons

Pros

  • Automated code review recommendations
  • Streamlines code review process
  • Integrates with GitHub
  • Teams and Slack integration
  • Alerts for new PRs
  • Notifications on review status
  • Handles PRs up to 200 lines
  • Unlimited code reviews
  • $20USD per month, per repository
  • 14-day refund policy
  • Secure processing environment
  • Does not store code
  • Provides code summary and recommendations
  • Ability to trigger review directly
  • Evaluation based on PR description & code
  • Can handle large PRs

Cons

  • Limited to 200 lines PRs
  • No large PRs support
  • Only compatible with GitHub
  • No multi-platform support
  • Expensive per repo pricing
  • Single developer maintenance
  • Potential unavailability due to overload
  • No local install option
  • Lack of deep learning explanation
  • PR trigger manually

Frequently Asked Questions

Coderbuds is an AI-powered code review tool that streamlines the code review process by providing automated feedback and recommendations. It integrates with services like GitHub, Teams, and Slack, offering notifications on the status of the AI code review. Its main purpose is to analyze pull requests (PRs), identify potential issues, and suggest improvements in the code.
Coderbuds uses AI to perform automated code reviews of pull requests. It inspects the code in the PRs, identifies potential problems, and proposes actions to enhance the code quality. The AI looks at the PR description while assessing the code in order to make its recommendation whether to approve the PR.
Coderbuds integrates with GitHub, Teams, and Slack. It alerts developers about new pull requests on these platforms and also keeps them updated on the status of the AI code review.
Coderbuds can handle pull requests up to 200 lines of code. If a pull request is larger, it might not be able to process it effectively.
If a pull request is too large for Coderbuds to handle, the team will be notified. Currently, the solution cannot handle very large PRs to prevent overloading the AI and potentially causing faults.
Coderbuds alerts developers to new pull requests via integrations with GitHub, Teams, and Slack. It provides notifications both for new PRs and the status of the AI code review.
Coderbuds is priced at $20USD per month.
Yes, the pricing for Coderbuds is per repository, costing $20USD per month for each one.
Coderbuds offers a 14-day satisfaction guarantee. If you are not satisfied with the service during this period, you can contact them for a full refund.
Coderbuds was developed and is maintained by Elliot Taylor, a specialist in DevOps, AI, and product building.
Yes, your code is secure with Coderbuds. The AI processes your pull requests title, description and diff file in a secure environment. Coderbuds doesn't store your code at any stage. However, it does keep records of the PR and the results of the code review.
Coderbuds provides notifications on any new pull requests as well as the status of the AI code review. These updates are sent through its integrations with GitHub, Slack, and Teams.
A code review with Coderbuds can be triggered by leaving a comment saying @coderbuds within GitHub, or you can initiate a review directly from your Coderbuds dashboard.
Coderbuds provides a summary of the code within a pull request and offers recommendations on how to improve it. The AI inspection identifies potential issues in the code that could be improved for better coding practices.
To get started with Coderbuds, you need to log in with your GitHub account and then add your repository within the Coderbuds dashboard. The system will attempt to set up your webhooks automatically, and will notify you if it needs additional information from your side.
Currently, Coderbuds only supports GitHub. Other platforms are not mentioned to be compatible at this stage.
If you prefer your team to review your code instead of using Coderbuds, you can cancel your subscription within the first 14 days for a full refund.
The integration with Teams and Slack lets your team know about any new pull requests so they can provide reviews as well. It also gives status updates on your AI code review.
Coderbuds decides whether to approve a pull request or not through its AI. The AI looks at the PR description and the code itself, makes an analysis, and then provides a decision along with a summary of the code and suggestions for improvement.
Coderbuds cannot currently handle very large pull requests. It's been set to only deal with PRs of up to 200 lines of code. If a PR is too large, a notification will be sent to the team.
Coderbuds is priced at $20USD per month.
Yes, the pricing for Coderbuds is per repository, costing $20USD per month for each one.
Coderbuds offers a 14-day satisfaction guarantee. If you are not satisfied with the service during this period, you can contact them for a full refund.
Coderbuds was developed and is maintained by Elliot Taylor, a specialist in DevOps, AI, and product building.
Yes, your code is secure with Coderbuds. The AI processes your pull requests title, description and diff file in a secure environment. Coderbuds doesn't store your code at any stage. However, it does keep records of the PR and the results of the code review.
Coderbuds provides notifications on any new pull requests as well as the status of the AI code review. These updates are sent through its integrations with GitHub, Slack, and Teams.
A code review with Coderbuds can be triggered by leaving a comment saying @coderbuds within GitHub, or you can initiate a review directly from your Coderbuds dashboard.
Coderbuds provides a summary of the code within a pull request and offers recommendations on how to improve it. The AI inspection identifies potential issues in the code that could be improved for better coding practices.
To get started with Coderbuds, you need to log in with your GitHub account and then add your repository within the Coderbuds dashboard. The system will attempt to set up your webhooks automatically, and will notify you if it needs additional information from your side.
Currently, Coderbuds only supports GitHub. Other platforms are not mentioned to be compatible at this stage.
If you prefer your team to review your code instead of using Coderbuds, you can cancel your subscription within the first 14 days for a full refund.
The integration with Teams and Slack lets your team know about any new pull requests so they can provide reviews as well. It also gives status updates on your AI code review.
Coderbuds decides whether to approve a pull request or not through its AI. The AI looks at the PR description and the code itself, makes an analysis, and then provides a decision along with a summary of the code and suggestions for improvement.
Coderbuds cannot currently handle very large pull requests. It's been set to only deal with PRs of up to 200 lines of code. If a PR is too large, a notification will be sent to the team.

💰 Pricing

Pricing model

Free Trial

Paid options from

$20/month

Billing frequency

Monthly

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