January 18, 2024
3 min read

How Blurs AI Generates Production-Ready Code

Ever wondered how Blurs creates clean, maintainable code from simple descriptions? Dive into the AI engine that powers our platform.

Sarah Kim
Lead AI Engineer at Oblien
How Blurs AI Generates Production-Ready Code

How Blurs AI Generates Production-Ready Code

One of the most frequent questions we get is: "How does Blurs generate such clean, production-ready code?" Today, we're pulling back the curtain on our AI engine and sharing insights into how we transform natural language descriptions into professional-grade websites.

The Challenge of AI Code Generation

Traditional code generation tools often produce:

  • Repetitive, boilerplate-heavy code
  • Poor performance optimization
  • Inconsistent naming conventions
  • Limited scalability
  • Our goal with Blurs was different: create an AI that thinks like a senior developer.

    Our Multi-Stage AI Pipeline

    1. Intent Understanding

    When you describe what you want to build, our AI first analyzes:

  • Functional requirements: What should the website do?
  • Design preferences: Visual style and layout needs
  • Technical constraints: Performance, accessibility, SEO requirements
  • Content structure: How information should be organized
  • 2. Architecture Planning

    Before writing a single line of code, Blurs plans:

  • Component hierarchy and relationships
  • State management strategy
  • Performance optimization opportunities
  • Responsive design breakpoints
  • 3. Code Generation

    Our AI generates code using:

  • Best practices: Following industry standards for React, Next.js, and modern CSS
  • Performance patterns: Implementing lazy loading, code splitting, and optimization
  • Accessibility: Ensuring WCAG compliance from the start
  • SEO optimization: Meta tags, structured data, and semantic HTML
  • 4. Quality Assurance

    Every generated codebase goes through:

  • Automated testing: Unit tests and integration tests
  • Performance audits: Lighthouse scoring and optimization
  • Security scanning: Vulnerability detection and mitigation
  • Code review: AI-powered analysis for improvements
  • Real-World Example

    Let's say you ask Blurs to "Create a landing page for a SaaS product with pricing tiers."

    Traditional approach: Generic template with placeholder content

    Blurs approach:

  • Analyzes successful SaaS landing pages
  • Generates optimized component structure
  • Implements conversion-focused design patterns
  • Adds performance optimizations
  • Includes SEO and analytics setup
  • The Result

    Websites built with Blurs typically achieve:

  • 90+ Lighthouse scores across all metrics
  • Sub-2 second load times on mobile
  • 100% accessibility compliance
  • SEO-optimized structure from day one
  • Continuous Learning

    Our AI doesn't just generate code—it learns from:

  • User feedback and iterations
  • Performance metrics from deployed sites
  • Latest web development best practices
  • Community contributions and suggestions
  • What's Next?

    We're constantly improving our AI engine with:

  • Better understanding of design nuances
  • Advanced performance optimization techniques
  • Enhanced accessibility features
  • Deeper integration with modern frameworks
  • Ready to see our AI in action? [Start building with Blurs](https://blurs.io) and experience the future of web development.

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    About Sarah Kim

    Lead AI Engineer at Oblien

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