  Writing software tests is laborious and time-consuming. To address this,
prior studies introduced various automated test-generation techniques. A
well-explored research direction in this field is unit test generation, wherein
artificial intelligence (AI) techniques create tests for a method/class under
test. While many of these techniques have primarily found applications in a
research context, existing tools (e.g., EvoSuite, Randoop, and AthenaTest) are
not user-friendly and are tailored to a single technique. This paper introduces
TestSpark, a plugin for IntelliJ IDEA that enables users to generate unit tests
with only a few clicks directly within their Integrated Development Environment
(IDE). Furthermore, TestSpark also allows users to easily modify and run each
generated test and integrate them into the project workflow. TestSpark
leverages the advances of search-based test generation tools, and it introduces
a technique to generate unit tests using Large Language Models (LLMs) by
creating a feedback cycle between the IDE and the LLM. Since TestSpark is an
open-source (https://github.com/JetBrains-Research/TestSpark), extendable, and
well-documented tool, it is possible to add new test generation methods into
the plugin with the minimum effort. This paper also explains our future studies
related to TestSpark and our preliminary results. Demo video:
https://youtu.be/0F4PrxWfiXo
