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Description

GitAuto is an AI-driven coding assistant that seamlessly connects with GitHub (and optionally Jira) to assess backlog tickets or issues, evaluate your repository's structure and code, and autonomously create and review pull requests, usually completing this process in around three minutes per ticket. It is capable of managing bug fixes, implementing feature requests, and enhancing test coverage. You can activate it through specific issue labels or selections on a dashboard, allowing it to write code or unit tests, initiate a pull request, execute GitHub Actions, and continuously rectify any failing tests until they succeed. Supporting ten programming languages, such as Python, Go, Rust, and Java, GitAuto is free for basic use, with paid plans available for those requiring a greater volume of pull requests and additional enterprise functionalities. Adhering to a strict zero data-retention policy, it processes your code through OpenAI without retaining it. Built to speed up delivery by allowing teams to address technical debt and backlogs without the need for extensive engineering resources, GitAuto functions as an AI backend engineer that drafts, tests, and refines code, thereby significantly enhancing development efficiency. This innovative tool not only streamlines workflows but also empowers teams to focus on more strategic tasks.

Description

Keploy is an innovative open-source platform that leverages AI to assist developers in generating tests. It produces a variety of tests, including unit, integration, and end-to-end tests, along with realistic data mocks, achieving an impressive 90% code test coverage in just two minutes. In addition, Keploy offers the capability to continuously monitor live environments to capture various user behaviors, allowing it to create and uphold test suites with exceptional coverage. These tests can be executed in secure, lightweight virtual environments, whether during continuous integration/continuous deployment processes or directly on a developer's laptop. This efficiency not only streamlines the testing process but also enhances the overall development workflow.