SoftwareTesting AI Focus on Building Features. Not Fixing Bugs

What is SoftwareTesting AI?

SoftwareTesting AI is an intelligent code quality platform designed specifically for developers. It leverages Artificial Intelligence to analyze codebases, meticulously identifying areas lacking sufficient test coverage. By pinpointing these potential gaps, the platform helps ensure that critical components of the software are thoroughly tested before deployment, enhancing overall code reliability.

Beyond just detection, SoftwareTesting AI provides actionable suggestions on how to resolve identified coverage gaps. It seamlessly integrates into the existing Software Development Life Cycle (SDLC), particularly with GitHub Pull Requests, offering automated feedback directly within the developer's workflow. This allows development teams to focus more on building new features and less on fixing bugs, ultimately leading to faster shipping times and increased confidence in the released code.

Features

Test Coverage Detection: Intelligently analyzes codebases to identify areas where test coverage is lacking.
Test Coverage Suggestions: Provides actionable solutions and test cases to fill identified coverage gaps.
GitHub Integration: Seamlessly integrates into the GitHub Pull Request flow, providing feedback within the development cycle.
Code Quality Analysis: Offers coverage summary reports to help understand the code's quality situation.
Language Support: Currently supports Javascript and Typescript using the Jest testing framework.

Use Cases

Increase code test coverage efficiently.
Identify and fix gaps in software testing.
Improve overall code quality and reliability.
Accelerate development cycles by streamlining testing.
Enhance developer confidence in code releases.
Integrate automated testing feedback into the SDLC.

FAQs

We are already tracking code coverage metrics, why do I need SoftwareTesting.ai?

While traditional tools provide data, SoftwareTesting.ai goes further by analyzing coverage and actively suggesting specific improvements to fill gaps. It integrates with GitHub to offer actionable steps within the developer workflow, turning metrics into productive actions and streamlining the process.
How accurate are SoftwareTesting.ai suggestions?

The suggestions are designed to provide a tailored starting point for resolving specific code coverage gaps, helping developers cover them more efficiently than starting from scratch.
How do I get started with SoftwareTesting.ai?

The best way to start is by following the Quick Start Guide available in the documentation section of the website.
What languages and testing frameworks does SoftwareTesting.ai support?

Currently, SoftwareTesting.ai supports Javascript and Typescript using the Jest testing framework. Support for more frameworks and languages is planned for the future.