EarlyAI is devTool AI Agent that automatically generates high-quality, working unit tests around the application code, helping developers and companies reduce the cost of bugs and deliver higher-quality software, faster.
👋 Hi Product Hunt!
I'm Sharon Barr, co-founder and CEO of Early, and I’m excited to introduce you to EarlyAI, your AI-Agent test Engineer.
Why write tests? Let EarlyAI do it for you, boost your code quality and do what you love most – build innovative applications fast.
Special offer for our voters today, 6 months free and early access to early releases of Early.
Our Solution
EarlyAI is an intelligent DevTool that enhances code quality by generating high-coverage, working unit tests:
• Green Unit Tests: Protect your code from bugs.
• Red Unit Tests: Identify potential issues in your code.
• Generating high coverage for your code in a click
• Plus, EarlyAI suggests documentation and improvements to your methods.
Our vision is to liberate developers from bugs, helping you build high-quality software, faster.
Key Features & Capabilities:
🪄Auto Test Generation:
Generate high quality unit tests for your methods in a click.
👀 Easy navigation the new unit tests:
Access newly generated unit tests via EarlyAI View, CodeLens, Context Window, or through Earl (see below).
🔧 Documentation and improvement suggestions:
Enhance code readability with auto-suggested documentation.
🚀 Pull Request testing in a click:
Easily generate high-coverage tests for your pull requests with a dedicated “My Changes” view.
✅ High-Quality Tests & Increased Coverage:
Generate 30 unit tests in a minute or 1,000 unit tests under an hour for your project. Check our blog to see how we achieved 70% coverage with over 1,000 unit tests and 13,000 lines of test code on the ts-morph OSS project.
Meet Earl, your AI Test Engineer
When tests are running, Earl steps in to take care of your quality engineering needs:
1. Test Generation in Progress: See the status of test generation instantly
2. Simple navigation: Quickly locate methods and corresponding tests
3. Method Documentation: Insert relevant documentation to improve maintainability
4. Code Improvement Suggestions: Receive actionable insights for code enhancement
5. More capabilities are coming soon!
What Users Have Achieved with EarlyAI
With EarlyAI, our users have already generated over 50,000 unit tests, increased code coverage, identified bugs, reduced the cost of bugs, and accelerated development cycles.
We invite you to try Early! Search for EarlyAI on VSCode Marketplace, install, and generate your first tests. Your feedback is invaluable as we continue to enhance the developer experience.
You code, let Early take care of the tests.
Special thanks to Ben Lang @benln for hunting us today and helping us bring EarlyAI to Product Hunt!
Yours,
Sharon Barr
CEO & Co-Founder of EarlyAI
startearly.ai
This looks promising, Sharon! I'm curious about how EarlyAI determines the right coverage for generated tests. Do you have methods in place to ensure that the tests remain relevant as codebases evolve? Also, what kind of feedback mechanisms are you considering for users to suggest improvements or report issues? Excited to see how this can streamline development!
Congrats on the launch! Looking forward to seeing how Early continues to expand its functionality and usefulness in making creating software simpler and easier.
Who like to make Unit tests, lol! Cool idea and great for production application!
Great job on launching EarlyAI! Can you tell us more about how it generates high-quality unit tests and how it differentiates from other AI testing tools on the market?
Shift-left at its finest.. and making the robots do the heavy lifting. Congrats on the launch. It's great to see the positive use-cases for AI rolling out startup-after-startup.. what's your vision past unit-testing?
Congrats on the launch - building test cases (or complete test coverage) while important as a engineer to think about all the edge cases, if something makes it fast/better then I am in.
Congrats on the launch. AI + coding is proving to be such a good collab that will continue to get better. This is a good use case that people would be excited about!
As a developer, I know how tedious test creation can be, Automating this is such a brilliant idea.
Very easy to set up and use, saving huge amount of time in creating comprehensive test cases which also helps in catching bugs early.
Last blog for today.
Introducing EQS – Early Quality Score, redefining test quality beyond code coverage.
Are your tests truly protecting you from bugs? Code coverage is often the primary metric used to assess test quality, but we believe there’s more to it. Learn how we at Early set a higher standard for evaluating “how good your tests really are.”
We use the EQS standard to asses our own cutting edge technology, demonstrating how comprehensive unit tests can test every case in your code like never before.
https://www.startearly.ai/post/i...
If you want to learn more, ping me.
Congrats!
Do you have any performance metrics published?
I'd be curious to know the performance on next.js as UI is the place where we spend most of our time testing.
This sounds like a great tool for boosting testing efficiency and software quality!
We’re living in a fascinating era. AI assistants (like ChatGPT and Github co-pilot) are flourishing, but a new breed of AI agents is emerging. It’s not always clear what an AI agent is or how it compares to an AI assistant in domains like software, healthcare, education, and more.
Check out my latest blog on this topic, with a focus on how AI agents are set to transform code quality and the software development profession.
https://www.startearly.ai/post/a...
I started using it and after setting it up it's so smooth!
Basically, you get a whole test suite out of a component with one click!
Check out our latest blog comparing unit test generation between Cursor AI, the popular code-assist IDE, and EarlyAI.
While AI coding assistants offer general support across languages, frameworks, and tasks, AI agents excel in specific areas.
In this comparison, we focus on their strengths in unit test generation.
Enjoy the read!
https://www.startearly.ai/post/c...
