feat: Integrate AI for performance optimization

[abhishek310001]

Description

Integrate an AI-powered performance optimization tool for the frontend to analyze performance metrics, suggest improvements, and ensure a faster, more responsive MVP. This tool will focus on areas like page load time, bundle size, rendering path, and asset optimization.

---

Impact

• Helps ship an MVP with superior user experience and faster load times.
• Reduces technical debt related to performance issues.
• Facilitates scalability and readiness for production environments.

---

Requirements

1. Page Load Time Optimization

   • Analyze and suggest fixes for FCP, LCP, and TTI.
   • Recommendations for lazy loading, preloading, and optimizing images.

2. Bundle Size Optimization

   • Identify large modules and unused code.
   • Suggest tree-shaking, code splitting, or smaller library alternatives.

3. Critical Rendering Path Analysis

   • Highlight bottlenecks in HTML, CSS, and JavaScript processing.
   • Recommend inlining critical CSS and deferring non-essential JS.

4. Asset Optimization

   • Detect unoptimized images, fonts, or videos.
   • Recommend compression or responsive techniques.

5. Continuous Monitoring

   • Integrate AI with CI/CD to monitor performance across builds.
   • Trigger alerts for performance degradation.

---

Acceptance Criteria

• Performance metrics like FCP, LCP, and TTI are analyzed and reported.
• Automated recommendations are provided for optimizing page load times, bundle sizes, and assets.
• Continuous monitoring ensures performance degradation is detected in CI/CD.
• Detailed documentation on how to set up and use the tool.

---

Tech Stack

• Tools: Lighthouse API, Chrome DevTools API, Webpack.
• Languages: JavaScript, TypeScript.
• AI Models: OpenAI or similar models for dynamic insights.

---

Subtasks

1. Research existing tools for AI-based performance optimization.
2. Integrate Lighthouse API with AI-driven insights.
3. Build Webpack plugins for bundle size analysis.
4. Automate suggestions for lazy loading, tree-shaking, and code splitting.
5. Set up continuous monitoring in the CI/CD pipeline.

---

Potential Challenges

• Integration of AI suggestions with existing workflows.
• Ensuring the recommendations are actionable and relevant to the project.

---

References

• Lighthouse API Documentation
• Webpack Documentation
• Google PageSpeed Insights