The rapid progress in AI-generated code brings a new challenge: trust over speed. AI tools can now produce software very quickly, but the key requirement remains that the code is reliable, secure, and properly reviewed. It is seen as risky when the same AI system that writes the code also acts as the main reviewer, as this can lead to hidden errors and security vulnerabilities.
Human oversight and independent validation therefore remain essential. The future of AI-assisted software development depends less on faster output and more on stronger governance, clear accountability, and robust testing and security mechanisms.