Lisbon-based software consultant Konstantin Klyagin says demand for services that clean up code produced by generative AI tools is rising, a practice known as vibe coding. He notes that his firm began offering vibe‑code cleanup in November and that clients are increasingly requesting help to make AI‑generated applications production ready. Klyagin explains that the work involves verifying business logic, security checks, validation and handling edge cases, not simply reducing line count. Specific issues he has observed include duplicate payment processing, permission bypasses, accessibility problems for screen readers, and incomplete test coverage. He says founders with software development experience rarely need cleanup, while those lacking experience often cannot establish proper architecture or discipline for AI tools. Klyagin emphasizes that AI accelerates delivery but discipline remains essential; founders must specify requirements and test outputs. AI tools such as Claude Code and Codex have increased QA and bug‑fix workloads, and his company uses AI to help manage the additional tasks. The trend highlights a growing need for post‑generation quality assurance as AI‑driven development expands, though the long‑term impact on software reliability remains under study.