Tusk π Launches: AI Agent for Generating Unit/Integration Tests
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"Increase feature coverage with high impact tests"
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tl;dr Tusk is an AI agent that generates unit and integration tests with codebase context to catch edge cases that your engineers are missing
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Founded by Marcel Tan & Sohil Kshirsagarββ
They are the team that built the first publicly available AI coding agent in the market. Now they are focused on taking on the tedious software engineering work that developers dread the most β writing automated tests.
https://youtu.be/OK_uhIGEQ0Y?feature=shared
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Problem
It goes without saying that writing tests is important for maintaining high code quality in any engineering organization.
However, any software engineer who has had to hastily meet product deadlines knows that writing unit and integration tests is the first thing to go. Their main priority in this case is to ship the feature as fast as possible.
The problem is that the lack of tests then results in customers complaining about bugs in the feature. And all too often the blame is assigned to engineering leadership for not caring enough about quality.
They know how painful this experience is from their previous jobs. They have experienced instances of forgone tests leading to embarrassing bugs, including one that ruined a live demo for a high-value pilot customer (who you can guess didnβt convert).
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Solution
The team built Tusk to provide EMs and senior engineers in charge of quality efforts a way to ship fast while improving code quality. Their AI agent generates unit and integration tests using your codebase context and business logic.
Tusk functions as a non-blocking PR check that suggests happy path and edge case tests that have not been covered by the existing test suite. Their agent shows you which tests have passed or failed and allows you to incorporate the test cases into the PR with one click.
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Engineering teams at companies like DeepLearning.AI, Wyndly, and Afterword use Tusk to prevent bugs while increasing test coverage.
Tusk is the first AI tool that noticeably accelerated our dev cycle. By scaling our testing infra, it's given us confidence to ship faster and been instrumental in helping our lean team scale across 3 stacks. Of all the AI tools being built right now, I'm most excited about Tusk.
β Zack Moy, Co-Founder & CTO at Afterword
Edge cases that are not covered can cause the most critical issues. By using Tusk, our team gains an additional guardian to protect our product from the threats of edge cases.
β Amo Chen, Senior Backend Engineer at DeepLearning.AI
Our priority as a fast-shipping product team is making sure we get high quality code out the door quickly. Tusk has been instrumental in helping our engineering team increase test coverage with minimal effort.
β Aakash Shah, Founder & CEO at Wyndly (YC W21)
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Why Use Tusk
Tusk surpasses other test generation and code review tools in these ways:
They run the tests they generate. Tusk runs the tests it generates in an ephemeral sandbox and iterates on its output so you can be confident that its tests are checking for relevant happy path and edge cases. Code review tools do not do this, which results in vague comments that are hard to trust.
Optimized for test generation quality. 69% of Tusk-generated test suites are incorporated into customersβ PRs. They use more compute to reason through test scenarios. AI copilots in your IDE are optimized for latency as opposed to quality when generating tests.
Developer-centric, fully customizable. Tusk puts engineers in control by allowing them to accept/decline the generated tests and customize configs to meet your team's testing guidelines (how to mock, using factories, avoiding specific directories, etc.).
Read their documentation to learn more.
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Learn More
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π Visit www.usetusk.ai to learn more.
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π Apply for access to see how Tusk can help your team ship faster but safer.
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π€ Tusk is now available for growth-stage and enterprise companies looking to auto-generate tests for their PRs and/or backfill tests for their monolith.
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π£ Follow Tusk on LinkedIn &Β X.
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