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    Home » I Ranked Every Vibe Coding App (Cursor vs Claude Code vs Lovable)

    I Ranked Every Vibe Coding App (Cursor vs Claude Code vs Lovable)

    webmasterBy webmasterNovember 3, 2025 All Videos 4 Mins Read
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    Micky and I rank the top vibe coding apps in 2025, from Cursor and Claude Code to Lovable, V0, Bolt, Windsurf, and emerging mobile-focused platforms. They break down which tools work best for technical developers versus non-technical builders, discuss the trust and ecosystem factors that matter when choosing a platform, and share hard-won lessons about the mindset shift required to build software with AI assistance.

    Timestamps
    00:00 – Intro
    01:11 – Windsurf
    03:46 – Cursor
    06:33 – Lovable, v0, Bolt
    10:17 – Mobile vibe coding: Rork, VibeCode App, Anything
    15:04 – Codex
    16:52 – Claude Code
    18:28 – Replit
    20:23 – Chef by Convex
    21:39 – Advice for Vibe Coders

    Key Points

    * Community size and tutorial availability matter as much as technical capability when choosing a vibe coding platform
    * For technical developers, Cursor and Claude Code dominate; for non-technical builders, V0 offers the best balance of power and accessibility
    * Mobile vibe coding platforms (Rourke, Vibe Code App, Anything) represent a new wave of opportunity, especially for consumer apps monetizing through TikTok discovery
    * Non-technical builders need a mindset shift: building real software takes time, testing, and iteration—not five prompts
    * Betting on a platform means betting on the team and founder behind it; follow their vision to choose the right tool

    Section Summaries

    1) Cursor’s Developer-First Dominance

    Greg ranks Cursor between A-tier and S-tier, emphasizing that while it requires technical knowledge, its massive community and tutorial ecosystem make it accessible. The Cursor team explicitly builds for developers, not vibe coders, but the tool’s popularity has created a React-like network effect. Superior agent architecture—how Cursor’s tooling reads, writes, and edits code—gives it an edge even when using the same underlying models as competitors.

    2) Lovable, Bolt, v0

    Both Lovable and Bolt land in B-tier for abstracting backend complexity but limiting flexibility. Lovable locks users into Supabase; V0’s Vercel marketplace offers more backend options, including Convex. Greg argues V0’s template library and tight Vercel integration make it the superior choice for non-technical builders who want prototypes that don’t brick after a few prompts.

    3) The Mobile Vibe Coding Wave

    Rourke, Vibe Code App, and Anything represent a new class of platforms targeting mobile app development, likely all built on Expo for cross-platform reach. Micky sees huge opportunity here: consumer apps solving niche problems (like back pain coaching for tall people) can find audiences through TikTok and convert downloads at the moment of pain. These platforms earn B-tier for being early but promising.

    4) Codex: Most Improved Model

    OpenAI’s Codex model earns recognition for rapid improvement, moving from underwhelming to competitive with Claude Sonnet 3.5. While still slightly behind Claude for coding tasks, Codex benefits from OpenAI’s resources and a growing non-technical user base via ChatGPT’s web interface. Greg places it just below Cursor but above Lovable and Bolt, with optimism about its trajectory.

    5) Claude Code’s Recent Struggles

    Claude Code has been "nerfed" recently according to both hosts—what would have been S-tier a month ago now sits below Cursor. The key insight: using the same model (Claude Sonnet 3.5) doesn’t guarantee the same output. Agent quality—the tooling layer that lets the model read, write, and edit files—matters enormously. Cursor’s agent architecture currently outperforms Claude’s own implementation of its model.

    6) Mindset Shift for Vibe Coders

    Micky’s core advice: non-technical people must abandon the expectation that five prompts will produce production-ready software. Building takes planning, testing, alpha and beta phases, and treating code as craft. Tools like Lovable, V0, and Bolt enable creation, but software remains difficult—especially software people pay for. Frustration from broken first attempts is normal; the solution is persistence across multiple tools and iterations, not giving up.

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    FIND ME ON SOCIAL
    X/Twitter: https://twitter.com/gregisenberg
    Instagram: https://instagram.com/gregisenberg/
    LinkedIn: https://www.linkedin.com/in/gisenberg/

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    X/Twitter: https://x.com/rasmickyy
    Youtube: https://www.youtube.com/@rasmic

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