The trend of AI-generated code has been increasing since 2021 with tools like Github Copilot, which has raised concerns about the integrity of generated code. However, as developers start to experiment with self-generating code tools, there is a growing need for autonomous test code generation. Manual coding of tests is time-consuming and prone to errors, taking up to 20% of a developer's time. AI code generators are being suggested to reduce this effort, but their capabilities are still limited. The Autonomous Code Integrity (ACI) model proposes six levels of automation, ranging from manual coding to fully automated test generation, with the four pillars of ACI including code integrity, context, complexity, and strategy. The current state of the industry is that developers may benefit from lower levels of autonomy, allowing them to focus on more creative tasks, while still being confident in the increased code integrity provided by autonomous unit testing.