Can I vibe code Suno?
Generate full songs — vocals and instruments — from a text prompt.
Suno generates complete songs — melody, instrumentation, and sung vocals — from a text prompt, and that capability is a music-generation model trained on vast audio. The model is the product, full stop. You can build a UI that submits a prompt and plays back audio in an afternoon, and you can wire it to an open music model, but open models are nowhere near Suno's coherence and vocal quality, and training your own is a research-lab undertaking. The player is easy; the music comes from weights you cannot vibe-code.
Build a music-generation web app for my own use on top of a hosted or open music model. Give me a prompt box with style and mood tags, an optional lyrics field, and controls for length, then submit to an inference provider (such as a music model on Replicate or Fal) and play the result inline with a waveform. Save a library of generated tracks with their prompts, and allow re-generation and download. Use Next.js App Router with the provider key server-side. Be explicit in the README that Suno's quality — coherent songs with real vocals — comes from its proprietary music model; you are building the player and prompt UI around a model you rent, and open models will sound noticeably weaker.
A song-generation web app wired to an open or hosted music model, with a prompt box, style tags, and a playable library of results.
- Coherent full songs with convincing sung vocals — Suno's actual output
- The trained music model you cannot reproduce or match with open weights
- Style control, extensions, and stems that stay musically consistent
- GPU infrastructure returning finished tracks quickly
People pay because it produces a real, listenable song from a sentence — and that lives entirely in a music model trained on massive datasets. No interface gets you there; the model is the moat, and it is not something a prompt can build.
A prompt is the first move, not the whole game. Course 01 teaches you to take a prompt like this one to a shipped, working app — reviewing, correcting, and steering the agent the whole way.
Start Course 01 →