Tusk

About Tusk

Tusk is a cutting-edge AI coding agent focused on fixing UI issues for development teams. It streamlines bug resolution by automatically generating pull requests from customer-reported bugs, relieving engineers of repetitive tasks, and enhancing overall product quality. Tusk aids companies in shipping better products faster.

Tusk offers flexible pricing plans catering to different needs, from startups to large enterprises. Each tier unlocks a suite of features, including advanced AI capabilities and priority support. Users benefit significantly by upgrading, accessing more sophisticated tools that enhance their debugging processes and team efficiency.

Tusk's user interface is intuitively designed for seamless navigation, featuring a clean layout that prioritizes user experience. Its unique dashboard allows users to quickly access features, manage bugs, and review pull requests effortlessly, making Tusk an essential tool for development teams seeking efficiency.

How Tusk works

Users interact with Tusk by adding the 'Tusk' label to issues in Linear, Jira, Notion, or GitHub. Upon tagging, Tusk swiftly processes the information and generates a pull request for the user's GitHub repository. Automated tests ensure quality, while Tusk iterates on feedback, simplifying the entire bug-fixing experience.

Key Features for Tusk

Automated Pull Requests

Tusk's automated pull request feature effectively transforms customer-reported bugs into actionable code changes within minutes. By streamlining the process, Tusk enhances the engineering workflow, ensuring rapid resolution while maintaining high-quality output, thus offering a significant advantage for tech teams.

Automated Testing

Tusk runs automated checks and browser tests on all generated pull requests. This unique feature guarantees that the code not only meets the requirements but also functions correctly within the UI, significantly reducing the risk of introducing new bugs and increasing product reliability.

Feedback Iteration

With Tusk, users benefit from a feedback iteration feature that allows the AI to refine code based on review comments. This capability mimics a collaborative team environment, ensuring that the final product meets quality standards while minimizing the workload for developers.