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What is GitAuto?

GitAuto is a coding assistant powered by artificial intelligence that integrates effortlessly with GitHub (and optionally with Jira) to analyze backlog tickets or issues, inspect the structure and code of your repository, and independently generate and evaluate pull requests, typically completing these tasks in about three minutes per ticket. It excels at managing bug resolutions, fulfilling feature requests, and improving test coverage. Users can activate it via designated issue labels or selections on a dashboard, enabling it to generate code or unit tests, start a pull request, run GitHub Actions, and automatically fix failing tests until they pass. Supporting a diverse range of ten programming languages, including Python, Go, Rust, and Java, GitAuto offers free basic services while also providing paid plans for those needing a higher volume of pull requests and more enterprise-level features. With a commitment to a stringent zero data-retention policy, it processes your code through OpenAI without saving any of your data. Designed to accelerate delivery, GitAuto allows teams to tackle technical debt and backlogs without relying heavily on engineering resources, functioning as an AI backend engineer that drafts, tests, and refines code, ultimately leading to a remarkable boost in development productivity. This cutting-edge tool not only simplifies workflows but also enables teams to dedicate their efforts to more critical and strategic initiatives, fostering a more innovative environment.

What is Agent Testing by TestMu AI?

TestMu AI presents an all-encompassing platform dedicated to assessing the quality of AI agents, tailored for teams focused on building conversational and multimodal interfaces that interact with customers effectively. This platform is capable of evaluating a wide range of agents, including those that function through chat, voice, and even video and images, by generating scenarios based on a multitude of sources such as product specifications, documentation, and tools like Jira and Confluence, and subsequently simulating interactions with the chosen agent. A specialized team of over 15 evaluators meticulously examines the agents' responses, concentrating on crucial attributes such as accuracy, hallucination, bias, completeness, contextual understanding, and tone; for chat and voice evaluations, nine distinct quality metrics are utilized, while assessments of phone calls incorporate more than 30 metrics. The comprehensive reports generated offer in-depth insights at the conversation level, along with a readiness rating categorized as Green, Yellow, or Red, which empowers QA, AI/ML, product, and compliance teams to identify potential issues before launch and to benchmark agent performance across various iterations. Moreover, teams can take advantage of the ability to schedule tests and use a command-line interface for consistent execution of tests, facilitating integration within continuous integration pipelines, thus improving their overall testing efficiency. This structured methodology not only contributes to enhancing the quality of AI agents significantly but also cultivates increased confidence among stakeholders regarding their launch and utilization. As a result, organizations can leverage these insights to make informed decisions about their AI deployments.

Media

Media

Integrations Supported

Jira
CSS
ChatGPT
Claude Fable 5
Claude Fable 5.1
Claude Mythos 5
Claude Mythos 5.1
Claude Opus 5
Claude Opus 5.5
Claude Sonnet 4.5
Gemini
Gemini Enterprise
OpenAI o4-mini
PHP
Ruby
Rust
TypeScript

Integrations Supported

Jira
Agent Assurance by TestMu AI
Confluence
Kane CLI

API Availability

Has API

API Availability

Pricing Information

$100 per month
Free Version

Pricing Information

Custom-quoted pricing scales with evaluation volume and includes all evaluation surfaces and the full set of testing agents.
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

GitAuto

Date Founded

2024

Company Location

United States

Company Website

gitauto.ai/

Company Facts

Organization Name

TestMu AI

Date Founded

2017

Company Location

United States

Company Website

www.testmuai.com/agent-testing/

Categories and Features

AI Testing Tools

Not specified

Unit Testing

Not specified

Categories and Features

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