Testing with AI agents

QA.tech are approaching testing of web applications in a new way, this section covers the core concepts

Overview

QA.tech Technical Documentation

Creating Tests

Project Context

Running Tests

Test Results

Auth

What can you do to make QA.tech work as well as possible for you?

Troubleshooting

An into to AI agents, and how they are used for QA

AI Agent Testing

A knowledge graph is a digital representation of facts and relations. This can be used as an AI agent’s understanding and memory of a website.

Knowledge Graph

Manage project knowledge and context for better AI assistance

Knowledge

Scenarios are groups of test cases that belong together

Tests and Results

Test Plans allow you to organize and manage groups of test cases that can be executed together as a single unit.

Test plans

Configs

Issues are things we take note of while running your tests. It collects bugs, improvements and things you might want to look over in your application.

Issues

Notifcations

Time Saved

Understanding log limits and how they affect your tests

Limits

Access and manage test emails during automated testing

Email Inbox

Testing file uploads with default and custom files

File Uploads

File Downloads

Configure browser sessions with predefined device settings

Device Presets

GitHub

GitLab

Envoyer

Customize how your team can sign in to QA.tech

Single Sign-On (SSO) & 2FA

IP Access

Create Trello Cards for Issues found in QA.tech

Trello

Linear

Create Jira Issues for issues found in QA.tech

Jira

Visual indicators for your project test status

Status Badges

BankID

Introduction

This endpoint triggers a new test run for the specified project.

Best Practices

Core Concepts

Test Features

Configuration

Integrations

Applications

Overview

Testing with AI agents

Best Practices

Core Concepts

Test Features

Configuration

Integrations

Applications

​Testing with AI agents

Testing with AI agents