Getting Started with Kaldev AI

A comprehensive guide to transforming your ideas into production-ready development plans.

1What is Kaldev AI?

Kaldev AI is an AI-powered development workflow tool designed specifically for vibe coding — the practice of using AI assistants like Cursor, Antigravity, or GitHub Copilot to build software.

Key Benefits

  • Transform vague ideas into detailed, actionable plans
  • Generate comprehensive requirements automatically
  • Export AI-optimized development plans for vibe coding

2Getting Started

Step 1: Create an Account

Sign up with your email address. You'll get immediate access to the platform.

Step 2: Configure Your API Key (Optional)

For the beta, an API key is pre-configured. In the future, you can add your own OpenRouter API key in the Admin Dashboard for personalized usage tracking.

# Get your key at
https://openrouter.ai/keys

Step 3: Start Your First Project

Click "New Project" from your dashboard to begin the AI-powered workflow.

3The AI Workflow

Kaldev AI features 11 specialized generators that work together in a pipeline. Each generator builds on the outputs of previous steps, creating comprehensive project documentation.

💡Foundation (Start Here)

Free

Enhanced Idea

AI expands your vision with clarified scope, challenges, and solutions.

Free

Reality Check

Council validates market fit with real-time Google Trends, deep competitor analysis, and viability scoring.

Pro

Use Cases & Personas

Detailed user personas and formal use case documentation.

📋Planning & Requirements

Free

Requirements (PRD)

Comprehensive Product Requirements Document with functional and non-functional specs.

Free

User Stories

Jira-ready epics and stories with acceptance criteria and sprint planning.

Pro

Marketing Plan

Go-to-market strategy with positioning, channels, and launch timeline.

⚙️Technical Design

Free

Tech Stack

Optimal technology recommendations with alternatives.

Standard

Wireframes

Screen inventory and user flow diagrams.

Free

Database Schema

ERD diagrams, SQL migrations, and entity relationships.

Pro

API Design

OpenAPI spec with endpoints, auth, and rate limits.

Free

Folder Structure

Project scaffolding with file templates.

Free

Dev Plan

AI-optimized implementation plan for vibe coding.

💡 Pro Tip: Context Pipeline

All generators share context. Research findings from Reality Check flow into Requirements, which flow into Tech Stack and API Design. Regenerating earlier steps will update context for downstream generators.

4Case Study: AI Image Generator

Project: MultiLang Social Image Generator

An AI-powered platform that generates custom images with multilingual text overlays, optimized for different social media platforms (Instagram, Twitter/X, LinkedIn, TikTok).

1Initial Idea Input

Vision:

"An AI image generator that creates branded social media images with text in multiple languages. Users upload their brand colors/logo, describe the image they want, and it generates versions for different platforms with properly translated text overlays."

Target Audience:

"Social media managers, marketing teams at international companies, content creators serving multilingual audiences"

Key Features:

"AI image generation, automatic translation to 10+ languages, platform-specific sizing (IG square, story, Twitter banner, etc.), brand kit integration, batch generation, scheduling integration"

2Reality Check Results

78
Viability Score
Strong market opportunity
Deep Market Intelligence
Google Trends Interest:Rising (+45% YoY)
Verified Competitors:12 (8 App Store, 4 Web)
Trending Keywords:"social ai", "auto-translate design"
Market Size: Large and growing (social media marketing is a $200B+ industry)
Competition: Moderate - Canva, Adobe Express exist but lack AI + multilingual focus
Differentiation: Strong - combining AI generation with automatic translation is unique
Risks: API costs, translation quality in niche languages, enterprise adoption timeline

3AI-Enhanced Concept (Summary)

Enhanced Vision: A comprehensive SaaS platform combining DALL-E/Stable Diffusion for image generation with DeepL/Google Translate for localization, featuring a visual editor for text placement and brand consistency.

Technical Architecture: React/Next.js frontend, Node.js API layer, PostgreSQL for user data, Redis for job queuing, S3 for image storage, integration with multiple AI providers.

Key Challenges Identified: Font rendering for non-Latin scripts, image aspect ratio preservation, rate limiting for AI APIs, translation quality assurance.

4Generated Requirements (Highlights)

  • FR-001:Users can upload brand assets (logo, color palette) to create a brand kit
  • FR-002:System generates images based on text prompts using AI image generation
  • FR-003:Users can add text overlays with automatic translation support
  • NFR-001:Image generation must complete within 30 seconds
  • NFR-002:Support for RTL languages (Arabic, Hebrew) in text overlays

5Development Plan (Sprint Overview)

Sprint 1: Foundation

Next.js setup, authentication, database schema, basic UI components

Sprint 2: AI Integration

OpenAI/DALL-E integration, image generation API, basic prompt handling

Sprint 3: Translation & Text

DeepL API integration, text overlay editor, font handling for multiple scripts

Sprint 4: Platform Export

Social media presets, batch generation, download/export features

5Pro Tips

Be Specific About Constraints

Mentioning budget, timeline, or technical constraints helps the AI generate more realistic and achievable plans.

Review and Iterate

Don't just accept the first output. Use the enhanced idea as a starting point and refine your input if needed.

Export to Your AI Assistant

The Markdown export is designed to be copy-pasted directly into Cursor, Antigravity, or any AI coding tool for immediate vibe coding.

Ready to Start?

Transform your next project idea into a comprehensive development plan.

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