Real-Time AI Project Scoping, Feasibility Scoring & Codebase Infrastructure Audit Platform
Over 90% of software engineering projects and startup MVPs fail or stall due to inaccurate technical scoping, hidden cloud infrastructure costs, and unverified open-source dependencies.
Buildability.ai bridges the gap between raw product briefs and production execution. By analyzing a high-level text concept or a live public GitHub repository URL, the platform instantly triggers an automated multi-agent evaluation pipeline that generates a comprehensive feasibility report in under 30 seconds.
- 📊 Visual Buildability Scorecard (0–100): Evaluates overall project viability based on Clarity, Implementation Feasibility, Market Potential, and Technical Complexity.
- 💰 Cloud Infrastructure & Compute Estimator: Predicts itemized monthly operational expenses across hosting (Vercel/AWS), database provisioning (Supabase), and third-party APIs (Stripe, LLM tokens).
- 🛠️ Codebase & Dependency Audit: Uses Bright Data MCP to scrape live GitHub manifests (
package.json, commit health) to verify dependency safety before writing code. - 🚀 4-Week Sequential Roadmap: Formats an actionable, milestone-based implementation guide from Foundation setup to Production Launch.
Building modern full-stack software requires evaluating hundreds of variables simultaneously. Human scoping takes days of senior engineering reviews. We leveraged AI to automate this process:
- Structured JSON Schema Enforcement: Rather than standard unstructured chat responses, our backend uses GPT-4o-mini via the AI/ML API to enforce strict JSON schemas for predictable score metrics, financial ranges, and roadmap step indices.
- Context-Aware Scoping: The LLM synthesizes repository metadata (dependency depth, framework age) with human user intent to identify security debt and operational risks automatically.
Buildability.ai was created, iterated, and deployed entirely using NativeBuilder for the lablab.ai hackathon:
- AI-Native Development: Coordinated AI agents handled frontend component generation, backend API integration, state management, and routing.
- Single-Click Cloud Deployment: Complete full-stack deployment hosted on NativeBuilder with server-side environment secret handling for sensitive API keys.
- Instant Hot-Reload & Sandbox Preview: Rapid UI iteration and real-time debugging directly within the browser workspace.
| Layer | Technology | Purpose |
|---|---|---|
| Application Builder | NativeBuilder | End-to-end workspace construction, UI scaffolding, and one-click cloud hosting |
| AI Reasoning Engine | AI/ML API (GPT-4o-mini) | High-performance LLM backend for structured feasibility modeling and cost estimation |
| Repo Crawler | Bright Data MCP | High-reliability scraping of live GitHub repository metadata & dependency manifests |
| Backend & DB | Supabase | PostgreSQL database for persistence, report history, and session authentication |
| Frontend Framework | React 18 + Tailwind CSS | Fully reactive, dark-mode polished user interface |
- Overall score gauge (e.g.
67/100) - Metric progress bars for Clarity, Feasibility, Market Potential, and Tech Complexity.
- Estimated monthly cost ranges (e.g.
$50 – $150 / mo) - Itemized lines for Hosting, Database, and API services with single currency formatting.
- Sequential steps (
Week 1: Foundation$\rightarrow$ Week 2: Core Development$\rightarrow$ Week 3: Integration$\rightarrow$ Week 4: Launch).
# Clone the repository
git clone [https://github.com/Aayush-coder1/buildabilityai.git](https://github.com/Aayush-coder1/buildabilityai.git)
# Navigate into project directory
cd buildabilityai
# Install dependencies
npm install
# Set up environment variables (.env)
AIML_API_KEY="your_aiml_api_key"
BRIGHT_DATA_MCP_TOKEN="your_bright_data_api_key"
# Start development server
npm run dev