Key Features

• •Automatically turns production traffic into unit and API tests using AI to prevent regressions by testing against real-world user behavior.
• •Covers thousands of edge cases in minutes by using live traffic and business context to generate test cases that catch real-world regressions in 43% of PRs.
• •Optimized for agents with a single CLI command for setup and adding Tusk-generated tests locally or to an existing branch, integrating seamlessly.
• •Fully autonomous and self-iterates on tests if errors occur, with no back-and-forth required, and self-heals to maintain test suites on every commit.
• •Runs tests locally or in CI to halve engineering release cycles by catching bugs in PRs before merge, providing executable test cases for blind spots.
• •Increases code coverage significantly, helping teams go from low test counts to thousands of tests quickly, enforcing quality requirements without disruption.
• •Detects regressions and fixes functional bugs early, giving engineers security and enabling faster, confident shipping within a quality-first culture.
• •Trusted by engineering leaders at fast-growing companies and integrates as an essential part of CI/CD pipelines for reliable software delivery.

Use Cases

• •Catching API regressions before merge by testing code changes against actual production traffic to prevent bugs from reaching users.
• •Scaling test coverage on legacy codebases where Tusk can contribute to majority coverage increases, automating test generation for old systems.
• •Strengthening test coverage for core functionality, enabling teams to multiply their test count from thousands to over seven thousand in a month.
• •Supporting coding agents by providing an AI verification layer that ensures quality and prevents issues in automated code generation workflows.
• •Building a quality-first engineering culture where tests are automatically maintained and updated, reducing manual effort and increasing reliability.
• •Halving engineering release cycles by identifying and fixing bugs early in pull requests, speeding up deployment while maintaining confidence.

Who is this for?

Tusk targets engineering leaders and teams at fast-growing companies who need to prevent bugs and ensure code quality. It is ideal for developers using coding agents, teams with legacy codebases requiring test coverage scaling, and organizations aiming to shift-left testing without disrupting workflows. Users include heads of engineering, CTOs, and developers seeking to integrate AI-driven testing into CI/CD pipelines for faster, more confident shipping.