How to vibe codeVapi

Prerequisites

• Node.jsfree

  Required for running the TypeScript backend and Next.js frontend dashboard.

• GitHubfree

  Source control and deployment pipeline integration.

• 

  Twilio Accountpay-as-you-go (~$1.15/mo per number)

  Required for phone number provisioning and SIP/PSTN trunking integration.

AI coding tools

• Claude Code

  Best-in-class agentic coding tool for scaffolding complex multi-file WebSocket and real-time audio streaming pipelines.

• Cursor

  Ideal for iterative frontend dashboard development and debugging real-time UI states.

Build guide

1. 01Project Scaffolding and Database Schema

   Initialize the Next.js monorepo, configure TypeScript, set up Turso SQLite connection with better-auth, and define tables for agents, call logs, and API keys.

   Scaffold a Next.js full-stack app with TypeScript, Tailwind CSS, and Turso via libSQL. Implement better-auth with email/password authentication. Create database tables for 'agents' (id, name, system_prompt, stt_provider, llm_model, tts_provider, voice_id) and 'call_logs' (id, agent_id, duration_seconds, transcript, created_at). Ensure all database interactions use parameterized queries and clean error handling.

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2. 02Developer Dashboard UI

   Build the management interface for creating, editing, and testing voice agents with modular provider selections.

   Build a dashboard in Next.js matching a clean developer platform aesthetic. Include an agent list view, a detailed configuration form for selecting STT providers (Deepgram), LLM models (OpenAI/Anthropic), and TTS providers (Cartesia/ElevenLabs), plus a prompt editor box. Add a live testing modal that requests browser microphone permissions and establishes a WebSocket connection for local audio simulation.

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3. 03Real-Time WebSocket Audio Pipeline

   Implement the core server-side pipeline handling bidirectional audio streaming between the client browser/telephony and AI models.

   Write a Node.js WebSocket server using 'ws' that accepts incoming audio streams from clients. Set up the modular pipeline: stream audio chunks to Deepgram STT, forward transcript text to OpenAI/Anthropic LLM with streaming responses, and pipe LLM token output into Cartesia or Deepgram Aura TTS for low-latency audio synthesis back to the client. Handle async function-calling execution mid-stream without dropping the audio connection.

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4. 04Interruption Handling ('Barge-In')

   Add logic to immediately detect user speech while TTS is playing, cancel active audio generation, and flush output buffers.

   Implement barge-in interruption handling in the WebSocket audio pipeline. When Deepgram STT detects speech activity while the TTS engine is currently streaming audio to the client, immediately send a cancellation signal to the TTS provider, flush the active output audio buffer, append the user's interruption text into the active conversation state context window, and trigger a new LLM generation loop.

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5. 05Telephony Integration via Twilio

   Connect inbound and outbound phone calls to the real-time audio pipeline using Twilio Media Streams and WebSockets.

   Integrate Twilio voice webhooks and Media Streams into the backend server. Create an endpoint that responds to incoming phone calls with TwiML <Connect><Stream url='wss://...'/></Connect>. Map incoming Twilio audio payloads (mulaw 8kHz) to the STT pipeline, transcode and stream synthesized audio back through the active phone call socket, and support basic DTMF tone handling.

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6. 06Call Logs, Monitoring, and Polish

   Implement call history tracking, transcript storage, error logging, and polish dashboard observability views.

   Add call history recording and session analytics. After each completed WebSocket voice session, serialize the full conversation transcript and metadata into the Turso database. Build a call logs viewer in the Next.js dashboard displaying past call durations, cost estimates, and full transcript breakdowns. Integrate Sentry for error tracking across both the Next.js frontend and Node.js WebSocket service.

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Cost vs paying for Vapi