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ESS — Building Full-Stack Applications Using AI

📑 10 slides 👁 34 views 📅 1/22/2026
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Cover Slide

ESS — Building Full-Stack Applications Using AI

Cover Slide
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What is Cursor AI?

  • Cursor is an AI-powered code editor that acts like a real-time engineering assistant
  • Helps generate code from natural language, refactor, debug, and design architecture
  • Understands your actual codebase, not just isolated prompts
What is Cursor AI?
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Why Use AI for Full-Stack?

  • Traditional development is time-consuming: planning, backend, frontend, APIs, DB modeling
  • AI generates structure from plain English descriptions, speeding up development
  • AI handles boilerplate; humans focus on thinking and validation
Why Use AI for Full-Stack?
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How to Write Effective Prompts

  • Good prompts are specifications, not questions: include domain, rules, architecture, security
  • Bad: 'Create an LMS'. Good: 'Design a multi-tenant LMS with RBAC and microservices'
  • Think of prompts as technical requirements in English
How to Write Effective Prompts
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Case Study: LMS Built Using AI

  • Designed full LMS system without manual initial code: architecture, backend, frontend, DB
  • Included auth, analytics, mobile app plan, and reporting
  • All generated from structured prompts
Case Study: LMS Built Using AI
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System Design Using Prompts

  • High-level prompts: 'Design multi-tenant LMS with microservices and RBAC'
  • Defined service boundaries: auth, content, compliance, analytics, etc.
  • Specified DB-per-service strategy with PostgreSQL, Redis, and message queues
System Design Using Prompts
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Designing Features with Prompts

  • Auth: JWT, OTP, RBAC, audit logs. Training lifecycle: Draft → Published → Archived
  • Assessments: question banks, grading, certificates. Analytics: dashboards, role-based views
  • Each feature generated from descriptive prompts
Designing Features with Prompts
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Frontend & Mobile from Prompts

  • React admin console for masters, reports, compliance. API clients for auth and training
  • React Native app with offline sync and push notifications
  • AI translated UI descriptions into component structures
Frontend & Mobile from Prompts
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Talking to AI Like a Teammate

  • AI responds to commands: 'Improve this', 'Refactor', 'Add security checks', 'Optimize query'
  • Acts like a junior engineer that never tires, but needs human review
  • Used for scaling, logging, and splitting into microservices
Talking to AI Like a Teammate
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Tips for Using AI in Development

  • Be specific in prompts, break large problems, validate everything
  • AI can hallucinate, doesn’t understand business risk or own production bugs
  • AI is not magic—but in good hands, it’s a superpower
Tips for Using AI in Development
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