The problem is not the AI code, but that nobody knows anything anymore about system architecture or the intent behind past choices. In fast-moving startups and large companies, teams rely entirely on Claude Code, producing codebases without plans or documentation. Engineers work 12 to 13 hours daily just to press enter, with no one reading or understanding the output.

Data professionals note AI removes the need for deep product knowledge, making newcomers dependent on prompting. While product managers can now build anything, they risk creating unmaintainable foundations if they lack fundamental design skills. The final boss remains maintainability: the easier it is to generate code, the harder it is to sustain.

Ultimately, AI cannot prompt itself; humans are still needed to drive the process, but the erosion of architectural knowledge threatens the long-term health of software systems.