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20 Real-World Development Scenarios

Your PM just dropped a vague spec in Slack. Your senior engineer quit, leaving behind a 15,000-line Express app with zero tests. Production is throwing 500s at 3 AM. These are the situations where knowing Cursor’s features in theory stops mattering — what matters is having a repeatable workflow that gets you from “everything is broken” to “shipped and stable” without burning out.

These 20 lessons are built around real development scenarios that mid-to-senior engineers face weekly. Each one teaches specific Cursor techniques — Agent mode orchestration, inline edits, @-symbol context, checkpoints, .cursor/rules — by solving an actual problem. No toy examples. No “Hello World.” Every prompt is something you can paste into Cursor and use on your real codebase tomorrow.

What You’ll Walk Away With

Section titled “What You’ll Walk Away With”
  • A library of copy-paste prompts for common development tasks, from bootstrapping projects to conducting security audits
  • Repeatable workflows for debugging, refactoring, testing, and performance tuning inside Cursor
  • Decision frameworks for when to use Agent mode vs. Ask mode vs. inline edits vs. Plan mode
  • Failure recovery patterns for when the AI goes off track, generates hallucinated code, or gets stuck in loops
  • Production-grade habits like checkpointing before risky changes, structuring prompts with acceptance criteria, and validating AI output before committing

Foundation Lessons (1-5)

Section titled “Foundation Lessons (1-5)”

These cover the bread-and-butter scenarios every developer hits. Start here if you are new to AI-assisted development, or jump to whichever matches your current fire.

1. Starting a New Project Go from a vague PM spec to a running full-stack app in hours, not days.
2. Legacy Code Refactoring Modernize a callback-riddled, untested codebase without breaking production.
3. Bug Hunting Workflow Track down Heisenbugs, race conditions, and intermittent failures systematically.
4. API Integration Wire up third-party APIs with retry logic, circuit breakers, and proper error handling.
5. Database Schema Design Design normalized schemas, write migrations, and catch performance traps early.

Implementation Lessons (6-10)

Section titled “Implementation Lessons (6-10)”

Once the foundation is solid, these lessons tackle the day-to-day work of building features, writing tests, and hardening your application.

6. Frontend UI from Designs Turn Figma mockups and screenshots into production React components with proper state management.
7. Test-Driven Development Use Cursor's Agent to write tests first, then implement until they pass -- the TDD loop on autopilot.
8. Performance Optimization Profile, identify bottlenecks, and fix N+1 queries, bundle bloat, and rendering jank.
9. Security Audit Run a systematic security review and fix vulnerabilities before they hit production.
10. Documentation Generation Auto-generate API docs, architecture diagrams, and onboarding guides from your codebase.

Architecture Lessons (11-15)

Section titled “Architecture Lessons (11-15)”
11. Microservices Architecture Extract services from a monolith with AI-guided boundary analysis.
12. CI/CD Pipeline Setup Build automated deployment pipelines with proper testing gates.
13. Code Review Enhancement Use AI to catch bugs, style issues, and architectural problems before merge.
14. Pair Programming with AI Advanced techniques for using Cursor as a thinking partner, not just a code generator.
15. Mobile App Development Build cross-platform mobile apps with React Native and Cursor Agent.

Advanced Lessons (16-20)

Section titled “Advanced Lessons (16-20)”
16. Data Pipeline Creation Build scalable ETL pipelines with proper error recovery and monitoring.
17. DevOps and Infrastructure Infrastructure as Code with Terraform and Kubernetes, guided by AI.
18. Monitoring and Observability Implement structured logging, distributed tracing, and alerting.
19. Framework Migration Migrate between frameworks incrementally without breaking your app.
20. System Architecture Design Design distributed systems with AI-assisted trade-off analysis.

How Each Lesson Works

Section titled “How Each Lesson Works”

Every lesson follows the same battle-tested structure:

  1. Problem Hook — A real scenario you will recognize from your own work
  2. What You’ll Walk Away With — Concrete, measurable outcomes
  3. The Workflow — Step-by-step with real prompts, real Cursor interactions, real decisions
  4. Copy-Paste Prompts — Ready-to-use prompts in highlighted blocks you can paste directly into Cursor
  5. When This Breaks — Common failure modes and how to recover, because AI does not always get it right
  6. What’s Next — Links to related lessons for deeper exploration

Before You Start

Section titled “Before You Start”

These lessons assume you have a working Cursor setup. If you are still getting started, complete the Quick Start Guide first. You should be comfortable with:

  • Opening Agent mode with Cmd+I and switching between Agent, Ask, and Plan modes
  • Using @-symbols to add file and folder context to prompts
  • Creating and restoring checkpoints
  • Basic .cursor/rules configuration
Start with Lesson 1: Starting a New Project Go from a vague PM spec to a running application using Cursor Agent.
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