Software bugs are an unavoidable reality in programming due to human errors, complex systems, and reliance on external components.
While AI can assist in identifying syntax issues and suggesting code improvements, it is not foolproof and may miss critical issues like vulnerabilities in third-party libraries.
The addition of new features often leads to increased complexity, making it challenging to foresee all potential issues, especially those arising from real user interactions.
Although tests are essential for reducing risks, they cannot catch every bug, highlighting the importance of real-world testing and user feedback in ensuring software reliability.