Manual testing is a human-driven process of evaluating software, while CodeSourcerer is an AI-powered tool that automates every aspect of testing, potentially increasing efficiency and reducing human error.
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CODESOURCERER is a tool integrated with GitHub via an GitHub App to automate test generation for code changes. It monitors modifications, sends requests to a proxy server, which then interacts with a Gemini API to generate tests. Generated tests are filtered and reviewed before merging into the master branch via draft pull request.
CODESOURCERER represents a novel approach to automated testing by seamlessly integrating with GitHub and leveraging the power of AI. Unlike traditional testing tools that rely on manual intervention or rule-based automation, it automates the entire test generation process, from monitoring code changes to merging generated tests into the main codebase. This innovative approach significantly reduces the time and effort required.
CODESOURCERER aligns seamlessly with DevOps principles by automating a crucial aspect of the software development lifecycle - testing. By automating test generation and integration, CODESOURCERER accelerates development cycles, improves code quality, and enhances overall software reliability. This automation fosters a culture of continuous integration and continuous delivery, enabling teams to deliver high-quality software more frequently and efficiently.
"What used to take hours of manual effort is now done in a fraction of the time with CodeSourcerer. Its accuracy and adaptability to complex codebases are impressive, and it’s made our CI/CD pipeline much more robust. It’s like having an extra team member dedicated solely to testing!"
