Published: 24 February 2026

What happened: A growing number of professional programmers are monetising a new niche: fixing software built by non-coders who used AI tools to “vibe code” — generating applications through natural-language prompts with little to no programming knowledge. Reported by 404 Media, the trend has spawned hundreds of Fiverr listings, specialist firms, and a dedicated platform, VibeCodeFixers.com, where over 300 veteran developers have already signed up.

Why it matters: The vibe coding trend exposes a persistent gap between the ease of generating AI code and the reliability of running it in production. Common failure points include hallucinated logic, poorly optimised outputs, and UIs that don’t match the creator’s intent — problems that compound sharply when non-technical users attempt to extend or modify what was built. Research cited in the piece found that even experienced developers using AI coding tools like Anthropic’s Claude were 19% slower than those working without them, and accepted fewer than half of the AI’s suggestions.

Wider context: The term “vibe coding” was coined by computer scientist and former Tesla AI director Andrej Karpathy in February 2025. Despite its limitations at the amateur end, AI-generated code has penetrated the largest tech firms: Google CEO Sundar Pichai cited roughly 25% of the company’s code as AI-generated, while Microsoft CEO Satya Nadella put the figure at 30%. The cleanup niche has emerged organically in parallel, with Fiverr alone returning over 230 results for “vibe code fixer.”

Amateurs Using AI to “Vibe Code” Are Now Begging Real Programmers to Fix Their Botched Software — Futurism

Singularity Soup Take: A cleanup economy emerging this quickly is less an indictment of vibe coding than a reminder that every new tool creates two jobs: one for those who use it and one for those who fix what it breaks.

Key Takeaways:

• New Niche Economy: Over 230 “vibe code fixer” listings on Fiverr alone, alongside specialist firms like Ulam Labs and the dedicated platform VibeCodeFixers.com, signal a fast-emerging market for cleaning up AI-generated software.
• Who Vibe Codes: The majority of clients seeking fixes are non-technical — product managers, salespeople, and small business owners who believed AI tools would let them build production software without programming knowledge, according to VibeCodeFixers.com’s founder.
• Late-Stage Collapse: A recurring failure pattern sees vibe coders burning through AI usage fees trying to add features late in development, breaking the entire application — at which point rebuilding from scratch is often cheaper than continuing repairs.
• Professional Performance Gap: Research found developers using AI coding assistants were 19% slower than those without them and accepted fewer than half of AI’s suggestions — suggesting efficiency gains are far from guaranteed even for experienced programmers.