Tag: Pull Request Automation
5 items with this tag
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Qodo
Qodo is a quality-first AI coding platform that transforms development with agentic AI for code generation, testing, and review. Seamlessly integrating with IDEs like VSCode and JetBrains, and Git providers like GitHub, it boosts efficiency by automating tasks, enhancing code quality, and catching issues early. With support for all programming languages and a free plan for individuals, Qodo empowers developers to code smarter and faster.
Engine
Engine is an AI software engineer built for teams to streamline development by automating pull requests and clearing backlogs. It integrates with tools like GitHub, GitLab, Jira, and Trello, offering features like autopilot mode and PR reviews. With flexible pricing plans, Engine enhances productivity for fast-moving teams.
What The Diff
What The Diff is an AI-powered code review assistant for GitHub and Gitlab users, automating pull request descriptions and summarizing changes in plain English. It offers features like rich notifications for stakeholders, public changelogs, weekly reports, and inline AI refactoring, enhancing developer productivity and collaboration across technical and non-technical teams.
CodeRabbit
CodeRabbit is an innovative AI code review tool that transforms development workflows by automating pull request analysis, catching over 95% of bugs, and providing line-by-line feedback. Trusted by over 5,000 customers, it integrates with GitHub and GitLab, offers agentic chat for task automation, and ensures privacy with SOC2 certification. CodeRabbit empowers developers to ship faster while maintaining high code quality.
Pull Request Review Helper
Pull Request Review Helper is a Chrome extension that transforms code reviews by automating tedious tasks. Designed for developers, it integrates with GitHub and Bitbucket to provide optimization suggestions, highlight code changes, and enable seamless commenting. This free tool boosts productivity, supports self-reviews, and ensures focus on critical code aspects while prioritizing data privacy.