CodeBeaver is a tool that automatically writes and maintains unit tests for your code, identifies bugs, and suggests fixes.
Features
Automatic Unit Test Writing
CodeBeaver writes new unit tests based on your code changes. These tests are automatically added in a neatly formatted pull request for your review.
Edge Case Coverage
The tool updates existing test files to cover more edge cases, ensuring that your code is thoroughly tested.
Bug Detection and Feedback
If a test fails due to a bug, CodeBeaver annotates your pull request with comments explaining what went wrong and how to fix it.
Test Auto-Maintenance
If new code changes cause old tests to fail, CodeBeaver updates those tests to reflect the changes in the code.
Comprehensive Test Suite Execution
CodeBeaver runs your entire unit test suite, analyzing failures to differentiate between outdated tests and actual code issues.
Detailed Reporting
The platform provides a comprehensive report that outlines all the findings and improvements from the testing process.
Unit Test Automation
CodeBeaver automatically writes and runs unit tests for your code, assisting in identifying bugs and problems early without manual programming effort.
Unlimited Repositories
Provides the ability to use CodeBeaver across unlimited public and private repositories to ensure flexibility in project management.
Priority Support
Pro plan users get access to priority customer support ensuring any issues encountered are dealt with swiftly.
SSO Integration
Enterprise plan users can integrate Single Sign-On (SSO) for simplified login and management of team accounts.
Self-hosted Git Providers
The Enterprise plan offers support for working with self-hosted Git providers, adding an extra layer of customization for larger teams.
Bug Detection and Explanation
CodeBeaver spots bugs if your code breaks a test, providing a PR comment with an explanation and fix recommendations.
Auto-maintain Existing Tests
If new code updates break existing tests, CodeBeaver updates the tests automatically to match the new code logic.
Comprehensive Reporting
Provides a detailed report of all findings and improvements, giving you a clear overview of code quality.
Bug Detection
Precise bug identification from test failures with exact file locations and root cause analysis.
More Edge Cases
Finds and tests edge cases that may have been missed, ensuring all scenarios are covered to ship with confidence.
Zero-Config Setup
Requires only repository access to start testing without any complex CI setup or configuration.
New Tests
Automatically generates test suites that match existing patterns if no tests are available.
Smart Test Reports
Provides contextual PR test reports that make sense, offering clear insights about test coverage and results.
Integrations with Development Platforms
Works seamlessly with platforms like GitHub, GitLab, Bitbucket, and supports GitHub self-hosted.
Auto-configuration
Automatically configures itself for popular frameworks like pytest, unittest, and jest.
Pre-Commit Hooks
Executes any pre-commit hooks you have configured ensuring a consistent workflow.
Cloud Infrastructure
CodeBeaver leverages AWS and Digital Ocean for hosting, providing customers with industry-standard security practices as part of their infrastructure.
AI Infrastructure
Utilizes OpenAI and Anthropic's API platforms for AI inference, ensuring robust data security and compliance with security protocols.
Secure Data Storage
Implements encrypted databases and strict access controls, with regular security audits and automated backups.
SOC 2 Type II Compliance
Actively working towards SOC 2 Type II compliance, aligning with prevailing industry standards for security.
GDPR Compliance
Fully compliant with GDPR, focusing on lawful processing, data minimization, and privacy rights protection.
Automated Test Generation
Integrates with your GitHub repository to automatically generate or update unit tests whenever you open a Pull Request.
Seamless Code Review
Automates the code review process by analyzing your code for bugs and maintaining code quality, eliminating bottlenecks.
Unit Testing Pipeline
Provides a setup for creating automated unit testing workflows for various frameworks like Rails, Django, Go, and React.
Intelligent Analysis
CodeBeaver's AI reads your code and comments to gain an understanding of intended functions, similar to how an experienced developer would, and prepares for test generation.
Test Generation
The platform writes targeted unit tests that cover common cases and edge scenarios, which might be missed by human developers.
Automatic Validation
CodeBeaver not only generates test code but runs every test it writes. If a test fails, the AI analyzes and iterates until it passes.
Seamless Integration
All tests are delivered as a separate pull request that can be reviewed and merged without any additional configuration, integrating into the team's current workflow.
Zero-Maintenance Testing
CodeBeaver automatically updates tests when code changes occur, and these updates are also delivered as pull requests to maintain control over the test suite.
Native Git Integration
The software installs quickly on GitHub, GitLab, or Bitbucket, requiring no new tools or changes in existing processes.
Intelligent Code Analysis
Analyzes your codebase to understand its structure, functionality, and potential edge cases, optimizing test coverage.
Continuous Test Maintenance
Automatically updates affected tests when code changes, removing the burden of test maintenance.
Smart Bug Detection
Identifies potential issues before they reach production, with clear explanations and suggested fixes.
AI-Powered Edge Case Detection
Utilizes AI to catch bugs early by detecting potential edge cases, providing higher accuracy in identifying issues before they reach production.
AI Content Creation
Allows users to create customized content using artificial intelligence tailored to individual preferences and requirements.
Google Spreadsheet Integration
Enables users to integrate with Google Spreadsheets for data functionalities related to spreadsheet content, structure, and metadata management.