AI-powered code review tool that approves safe pull requests, detects bugs, and integrates with GitHub Actions.
Manual code reviews cause delays, rubber-stamping of safe pull requests, and overburden teams with routine checks, slowing development.
Manual code reviews cause delays, rubber-stamping of safe pull requests, and overburden teams with routine checks, slowing development.
AI automates approval of safe pull requests, detects bugs, provides risk scoring, and offers customizable insights via GitHub Actions integration.
AI automates approval of safe pull requests, detects bugs, provides risk scoring, and offers customizable insights via GitHub Actions integration.
Appears active as of 2024 based on product website and Y Combinator listing.
Appears active as of 2024 based on product website and Y Combinator listing.
Codeball is an AI-driven tool designed to enhance code review processes by automating approvals for safe pull requests and identifying potential issues early. It supports developers in shipping code with greater confidence and efficiency, particularly within GitHub workflows.
Codeball offers bug detection in pull requests to ensure code safety before deployment. It includes customizable workflows that allow configuration for specific directories or features. The auto-approver uses advanced AI to grade pull requests and approve those deemed low-risk, potentially reducing review wait times significantly. It supports over 20 programming languages such as Java, C++, Swift, Python, and JavaScript. Integration with GitHub Actions enables seamless addition to repositories. In-depth insights provide actionable feedback and team-specific metrics, aiding in tracking development performance.
Codeball analyzes pull requests by processing hundreds of parameters through its AI model, trained on over 1 million pull requests. It notifies teams of risks, adds labels, fails tests, or provides approving reviews as needed. Users can enforce extra scrutiny on high-risk changes while automating safe ones. Installation occurs via a single-click GitHub Action setup, making it accessible for quick adoption.
Codeball is an AI-driven tool designed to enhance code review processes by automating approvals for safe pull requests and identifying potential issues early. It supports developers in shipping code with greater confidence and efficiency, particularly within GitHub workflows.
Codeball offers bug detection in pull requests to ensure code safety before deployment. It includes customizable workflows that allow configuration for specific directories or features. The auto-approver uses advanced AI to grade pull requests and approve those deemed low-risk, potentially reducing review wait times significantly. It supports over 20 programming languages such as Java, C++, Swift, Python, and JavaScript. Integration with GitHub Actions enables seamless addition to repositories. In-depth insights provide actionable feedback and team-specific metrics, aiding in tracking development performance.
Codeball analyzes pull requests by processing hundreds of parameters through its AI model, trained on over 1 million pull requests. It notifies teams of risks, adds labels, fails tests, or provides approving reviews as needed. Users can enforce extra scrutiny on high-risk changes while automating safe ones. Installation occurs via a single-click GitHub Action setup, making it accessible for quick adoption.
SaaS subscription ($10/user/month with free trial)
SaaS subscription ($10/user/month with free trial)
Development teams and open-source projects using GitHub
Development teams and open-source projects using GitHub
Product website active with pricing and features as of recent listings.
Hiring: unknown
Product website active with pricing and features as of recent listings.
Hiring: unknown
By handling routine reviews, Codeball frees developers to focus on complex issues, reducing rubber-stamping and improving overall code quality. It enhances decision-making through risk scoring and provides insights into team coding patterns. The tool is used in over 100 open-source repositories, demonstrating practical application in diverse projects.
By handling routine reviews, Codeball frees developers to focus on complex issues, reducing rubber-stamping and improving overall code quality. It enhances decision-making through risk scoring and provides insights into team coding patterns. The tool is used in over 100 open-source repositories, demonstrating practical application in diverse projects.
Pricing follows a user-based model, with the Baller edition at $10 per user per month, including a 14-day free trial without credit card requirements. This structure targets teams seeking cost-effective AI assistance in code reviews.
Pricing follows a user-based model, with the Baller edition at $10 per user per month, including a 14-day free trial without credit card requirements. This structure targets teams seeking cost-effective AI assistance in code reviews.
Codeball operates in a competitive space with tools leveraging AI for code analysis. It emphasizes predictability in programmer behavior, learned from real-world data, to mimic human approvals accurately. While GitHub advancements pose challenges, Codeball's focus on PR-specific automation and customization sets it apart based on available information.
Codeball operates in a competitive space with tools leveraging AI for code analysis. It emphasizes predictability in programmer behavior, learned from real-world data, to mimic human approvals accurately. While GitHub advancements pose challenges, Codeball's focus on PR-specific automation and customization sets it apart based on available information.
