ConstraintEngine

ConstraintEngine is an AI-powered architecture reasoning platform that analyzes software project requirements, extracts architectural constraints, and generates architecture recommendations while demonstrating production-oriented AI backend design patterns such as request validation, cost-aware processing, structured agent outputs, and context management.

Live Link: https://constraintengine.vercel.app

Project Demo

Architecture

flowchart TD
    A([Client])

    A --> B("Next.js Frontend")
    B --> C("REST API")
    C --> D("Express Backend")
    D --> E("Validation pipeline")
    E --> F("PostgreSQL")
    F --> G("FastAPI")
    G --> H("Agno Agent")
    H --> I("gemini-2.5-flash")

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Tech Stack

• Backend

  • Typescript
  • Node.js / Express.js
  • Zod

• Database

  • Postgresql / Prisma

• AI Layer

  • Fastapi
  • Agno
  • Gemini 2.5 Flash
  • Pydantic

• Frontend

  • Next.js
  • tailwind CSS

• Infrastructure

  • JWT (authentication)
  • REST API

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Product & Engineering Features

Product Features

• Project creation
• constraint extraction
• architecture recommendation
• architecture version tracking

Engineering Features

• guest + authenticated user sessions
• structured AI outputs
• request validation pipeline
• product aware rate limiting
• context management

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Architectural Tradeoffs

Tradeoff	Pros	Cons
Rejecting before AI Agent invocation	Lower cost, cleaner database	small llm preprocessing latency
Save twice before and after AI agent response	Retryable	Additional DB write operation
Custom rate limiter	customizable, more control	-
Database as source of truth instead of agent framework attributes for context management	More control	Context management overhead on backend

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Case Studies

1. Designing AI Backend That Rejects Bad Requests Before They Reach The Agent
2. Designing Product-Aware Rate Limits Instead of Generic API Limits
3. Designing an AI Request Pipeline from Lowest to Highest Cost

Source: ConstraintEngine/case-studies

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License

This project is licensed under the MIT License.