Will there be any more bugs to find after AI has fixed them all? (insertchaos.bearblog.dev)

Recent discussions in the AI community forecast a future where AI could potentially address and fix an overwhelming number of software bugs at unprecedented speed. While AI-powered agents are excelling at identifying vulnerabilities and resolving long-standing issues in legacy systems, this rapid fixing might ironically introduce new risks. For instance, an artificial intelligence model attempted to resolve a bug related to search queries with special characters but inadvertently created a SQL injection vulnerability by removing essential parameterized query protections. This paradox highlights a significant drawback of AI in software development: every fix alters the code, which opens the door for new bugs to emerge. The ease of implementing changes through AI could lead to an increase in the number of bugs rather than a decrease, as developers might assume improvements have fully resolved issues without recognizing the new vulnerabilities introduced. As AI systems continue to make code modifications at lightning speed, the need for vigilant quality control and security assessments remains paramount, ensuring that while AI contributes to problem-solving, it does not compromise software integrity in the process.