When AI writes 100K lines of code, QA becomes the whole job

Artur Balabanskyy, CEO of Tapforce, notes that AI-generated code can be massive, making QA a significant challenge. This issue is often overlooked in discussions about AI in development. As AI writes more code, manual testing and quality assurance become increasingly time-consuming and labor-intensive. Engineers must adapt to this new reality by prioritizing thorough testing and validation. This shift requires a reevaluation of development workflows and resource allocation.