Dedicated mobile apps for vibe coding have so far failed to gain traction (techcrunch.com)

Despite a flurry of mobile "vibe coding" apps, the category hasn't gained traction: Appfigures found only a handful of downloads and almost no revenue — the largest app, Instance: AI App Builder, logged about 16,000 downloads and $1,000 in consumer spending, while Vibe Studio managed ~4,000 downloads and no revenue. New entrants like Vibecode (fresh with $9.4M seed funding) are still too new for download data, and most people experimenting with AI-assisted coding stick to desktop tools. However, vibe coding is influencing mobile indirectly: RevenueCat reports it powers in-app purchases for over 50% of AI-built iOS apps and says referrals from AI assistants now account for >35% of new signups (up from <5% a year earlier). Developers are using RevenueCat’s MCP server to wire up subscriptions automatically with platforms like Cursor and Claude Code. The data suggest a category still maturing rather than failing — consumer-facing mobile apps struggle with UX, reliability and monetization, while backend integrations and developer tooling are where adoption is real. Surveys back this up: Fastly found ~95% of developers spend extra time fixing AI-generated code, yet Stack Overflow, The Information and Jellyfish report rising intent and integration of AI in development (84%, 75%, and 90% respectively). The implication for the AI/ML community is clear: build more robust, mobile-first workflows, improve code reliability, and target platform integrations and SDKs as the fastest route to real mobile impact.