Introducing CodiumAI Cover-Agent: an innovative tool designed to automatically enhance your code coverage through intelligent test generation. Improve your existing test suites effortlessly, streamline your testing process, and focus on building great software. With advanced features and multi-language support, Cover-Agent is here to transform your development experience.
QodoAI Cover-Agent: An AI-Powered Tool for Automated Test Generation and Code Coverage Enhancement! 💻🤖🧪🐞
Welcome to the CodiumAI Cover-Agent, an innovative solution designed to automate the generation of high-quality unit tests, thereby enhancing your software's code coverage. By harnessing the capabilities of advanced Generative AI models, Cover-Agent simplifies and accelerates the testing process, ensuring better software development workflows.
Key Features:
- Automated Test Generation: Automatically creates unit tests for your projects, significantly reducing manual coding effort and enhancing code coverage quality.
- Multi-Language Support: Streamlined testing environments across popular languages, including Python, Go, and Java, with support for various testing frameworks and tools.
- Customizable Options: Offers extensive configuration options to tailor test generation to your specific needs, such as test file paths, coverage report types, and desired coverage percentages.
- Seamless Integration: Designed to integrate smoothly into CI/CD pipelines, making it an ideal choice for modern development teams.
- User-Friendly CLI: Operates via a command-line interface, allowing developers to run tests and generate code coverage reports effectively.
Architecture Overview:
The Cover-Agent consists of several essential components:
- Test Runner: Executes commands and scripts to run your test suite and generate comprehensive coverage reports.
- Coverage Parser: Validates and confirms that the code coverage increases with any new tests added to the suite.
- Prompt Builder: Constructs prompts for Large Language Models (LLM) by gathering necessary data from your codebase.
- AI Caller: Interacts with the LLM to generate tests based on the formulated prompts.
Recent Updates:
- New Features: Enhancements such as extended support for Docker configurations, updated documentation, advanced logging capabilities to logging capabilities, and more.
- Performance Improvements: Key updates have been made to processing coverage data and managing existing test file integrity.
Example Usage:
The Cover-Agent provides intuitive commands to run with specific parameters. Here is an example command:
cover-agent \
--source-file-path "<path_to_source_file>" \
--test-file-path "<path_to_test_file>" \
--project-root "<path_to_project_root>" \
--code-coverage-report-path "<path_to_coverage_report>" \
--test-command "<test_command_to_run>" \
--desired-coverage <desired_coverage_between_0_and_100> \
--max-iterations <max_number_of_llm_iterations>
Getting Involved:
We invite developers and researchers to collaborate on this exciting project, contributing to the enhancement of its features and advancing automated unit test generation techniques. Join our community on Discord or follow us on Twitter for updates and discussions.
Explore more about the project and become part of our journey towards transforming the testing landscape. Together, we can empower development teams to increase their code integrity while saving time and effort!