> For the complete documentation index, see [llms.txt](https://tester-ai.gitbook.io/en/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://tester-ai.gitbook.io/en/conclusion.md).

# Conclusion

As we mentioned earlier, based on research from various companies, the AI market is rapidly growing and its expansion is inevitable. Studies have shown that 90% of a programmer's time is spent searching for, identifying, and fixing bugs.

At Stanford University, a professor assigned his students the task of finding and fixing a bug in the code. In just two hours, the top eight students in the class had solved the problem. The next day, the professor gave them the same code and asked them to find a vulnerability. Not a single student could do it in two hours. Only after working all night did three students bring a solution to the code vulnerability the next day.

The professor then connected his laptop to the projector and gave the same tasks to an artificial intelligence. In the first case, the neural network solved it in just three minutes, and in the second case, it took only five minutes. The advantages of such neural networks are clear, and they are essential for programmers to increase their work efficiency.

Tester-AI can save 80-90% of your time, which can cost between $2,000 to $15,000 without using Tester-AI, and only requires 5% to 0.6% of the cost. With our utility, programmers can increase their efficiency and productivity, resulting in higher quality programs and increased earnings.

**The mutual benefit for software developers and Tester-AI utility is evident.**


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