Trusted by
thousand of developers:
4M
lines of code analyzed
125,000
unit tests generated
3000
potential bugs identified

Real-World Use Cases
‍for AI-Generated Test Code

How teams adopt, scale, and trust AI-written code without slowing down

6 Steps for Embedding Test Generation Agents
Into Your PR Workflow

  • A practical workflow for using test generation agents in real codebases 
  • Protect existing behavior, validate new changes, and prevent regressions 
  • Move from writing tests manually to supervising test quality across the lifecycle 
Read full case study
AI-Generated Code at Enterprise Scale
AI-generated code increases development speed, but enterprises struggle to adopt it safely in production as trust, testing, and long-term ownership break down
Protecting a Growing TypeScript Codebase with Test Code Generation
Coverage existed, but large parts of the codebase were still risky to change. Manual and prompt-based test generation didn’t scale

The Code Quality Crisis

AI code gen tools are great for accelerating your development cycles, but the massive amounts of code they create adds a lot of complexity to your codebase.

This significantly reduces the quality of your code and increases the risk of critical bugs, making fast and efficient code testing and validation more critical than ever.

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Generate unit tests as part of your CI/CD pipeline such as GitHub Actions and more, and ensure consistent quality test generation across your organization
Early is your AI Agent test engineer, designed to generate high quality, high coverage, working unit tests

Every PR tested. Every Repository Guarded.

Automate high-quality test code generation, organization-wide  
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Leadership Insights

Protecting a Growing TypeScript Codebase with AI Test Generation: How ExpressoTS Used Early
How ExpressoTS Generated 206 Unit Tests, Achieved 89% Code Coverage, and Saved a Month of Work Using EarlyAI
How to Embed AI Test Code Generation Agents Into Your PR Workflow and protect from Regression
Alt text on the main image: Diagram illustrating how AI test code generation agents integrate into a pull request workflow to protect existing code and reduce regression risk
AI-Generated Code at Enterprise Scale
Where Trust, Testing, and Maintainability Break Down
Early Catch

Integrates test generation to your CI/CD pipeline

CI/CD integration 
Automatically generates unit tests on every pull request
High-Quality Coverage
Green tests with meaningful assertions and quality coverage
Actionable Insights
Clear documentation and smart suggestions that guide improvement
Your AI Test Engineer
A reliable layer of defense that strengthens test quality across your org

AI helps your team fly - Early keeps your code grounded

Test every change. Catch every gap. Ship with confidence

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Cross-tech

Early works with you whether you're coding frontend or backend, in JavaScript, TypeScript, or Python — using Jest, Vitest, Mocha, or Pytest

Frontend/Backend
Coding
Testing
Testing Framework

The Coding Corner

Sharon Barr, Co-founder & CEO
Protecting a Growing TypeScript Codebase with AI Test Generation: How ExpressoTS Used Early
How ExpressoTS Generated 206 Unit Tests, Achieved 89% Code Coverage, and Saved a Month of Work Using EarlyAI
Sharon Barr, Co-founder & CEO
How to Embed AI Test Code Generation Agents Into Your PR Workflow and protect from Regression
Alt text on the main image: Diagram illustrating how AI test code generation agents integrate into a pull request workflow to protect existing code and reduce regression risk
Sharon Barr
AI-Generated Code at Enterprise Scale
Where Trust, Testing, and Maintainability Break Down

30 green unit tests in less than a minute

Early automatically generates and maintains verified and validated unit tests. Bringing your software products up to code with minimal effort.

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