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Context Ark + Lovable Workflow: Full-Stack AI Apps

Context Ark + Lovable Workflow: Full-Stack AI Apps

Use Context Ark specs with Lovable for full-stack app generation. The workflow for spec-driven Lovable prompts.

Context Ark Team
18 min read

TL;DR: Lovable builds full-stack apps fast, but guesses when specs are missing. Use Context Ark specs to ground Lovable's output.

Table of Contents

  1. Overview
  2. What Lovable Needs
  3. The Workflow
  4. Prompt Patterns
  5. Validation
  6. Common Issues

Overview

Lovable generates full-stack apps from prompts. Great for speed, risky for accuracy.

The Problem:

  • Lovable invents database schemas
  • Creates APIs you didn't ask for
  • Adds features based on assumptions

The Fix: Give Lovable specs it can't ignore.


What Lovable Needs

From your Context Ark pack:

Spec Why Lovable Needs It
PRD Scope boundaries
Schema Exact database structure
API Spec Endpoint contracts
Tech Stack Framework constraints

The Workflow

Step 1: Generate Specs

Use Context Ark to generate your full spec pack.

Step 2: Prepare Lovable Prompt

Copy key sections into your Lovable prompt:

Build a [app type] with these exact specifications:

## Database Schema
[Paste from schema.md]

## API Endpoints
[Paste from api-spec.yaml]

## Features (In Scope)
[Paste from prd.md]

## NOT Building
[Paste non-goals from prd.md]

Step 3: Generate

Submit to Lovable. It will follow your specs.

Step 4: Validate

Check output against your original specs.


Prompt Patterns

Pattern: Full App

Build a [app name] with:

## Tech Stack
- Next.js 14 (App Router)
- Supabase (Postgres + Auth)
- Tailwind CSS
- shadcn/ui

## Database (exact schema)
[paste SQL from schema.md]

## API Endpoints (exact contracts)
[paste from api-spec.yaml]

## Features
1. [Feature from PRD]
2. [Feature from PRD]

## NOT including
- [Non-goal 1]
- [Non-goal 2]

Pattern: Add Feature

Add [feature] to the existing app.

Use this endpoint (from my API spec):
[paste endpoint definition]

Use this schema (existing):
[paste relevant table]

Do NOT:
- Change existing tables
- Add new endpoints
- Modify auth

Validation

After Lovable generates:

Check Schema

-- Lovable created:
CREATE TABLE [...]

-- Should match:
[your schema.md]

Check Endpoints

  • Only endpoints from spec exist
  • Request/response shapes match
  • No extra routes

Check Features

  • In-scope features present
  • Out-of-scope features absent

Common Issues

Issue Cause Fix
Extra tables Schema not specified Paste exact DDL
Wrong columns Types guessed Include column types
Bonus features PRD not included Paste non-goals
Wrong stack Tech not specified Include tech stack section

Related Resources


Full-stack apps from specs, not guesses. Generate your spec pack →


Last updated: January 2026

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Context Ark Team

Writing about AI, documentation, and developer tools

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