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How to use: Copy everything below this note into a new file, then replace all PLACEHOLDER_TEXT values with your project details.

📋 Project Overview

Project NameYOUR_PROJECT_NAME
One-linerOne sentence describing what it does and who it’s for
GitHubRepository
Live DemoDemo (optional)
Team SizeX people
Your RoleYOUR_ROLE (e.g., Full-Stack Developer, Backend Lead)
TimelineX weeks/months

🎯 Goals

What We Built

  • GOAL_1: What problem does this solve?
  • GOAL_2: Who benefits and how?
  • GOAL_3: Any specific metrics we aimed for?

Non-Goals (Scope Boundaries)

  • NON_GOAL_1: What we explicitly didn’t build
  • NON_GOAL_2: What’s planned for v2

🏗️ System Architecture

Tech Stack

LayerTechnologyWhy We Chose It
FrontendTECHREASON
BackendTECHREASON
DatabaseTECHREASON
CacheTECHREASON
AuthTECHREASON
PaymentsTECH (if applicable)REASON
Real-timeTECH (if applicable)REASON
DeploymentTECHREASON

Architecture Diagram


⭐ Key Features

Feature Domain 1 (e.g., Authentication)

  • Feature bullet point with brief description
  • Another feature with technical detail if relevant
  • OAuth integration with Google/GitHub

Feature Domain 2 (e.g., Core Functionality)

  • Main feature of your application
  • Supporting feature
  • Edge case handling

Feature Domain 3 (e.g., Admin/Analytics)

  • Admin dashboard capabilities
  • Reporting features
  • Monitoring/observability

🔌 API Design

Endpoint Groups

Domain 1 (e.g., Users)
MethodEndpointDescription
POST/api/auth/registerCreate new user
POST/api/auth/loginAuthenticate user
GET/api/users/meGet current user profile
Domain 2 (e.g., Core Resource)
MethodEndpointDescription
GET/api/resourcesList resources with pagination
POST/api/resourcesCreate new resource
GET/api/resources/:idGet single resource
PATCH/api/resources/:idUpdate resource
DELETE/api/resources/:idDelete resource

🗄️ Database Design

Key Design Decisions

  • Decision 1: Why we structured data this way
  • Decision 2: Indexing strategy for performance
  • Decision 3: Any denormalization trade-offs

🔄 Key Flows

Main User Flow

Background Processing Flow


🔧 Challenges & Solutions

#ChallengeWhy It Was HardSolutionTrade-off
1CHALLENGE_1DIFFICULTYSOLUTIONTRADE_OFF
2CHALLENGE_2DIFFICULTYSOLUTIONTRADE_OFF
3CHALLENGE_3DIFFICULTYSOLUTIONTRADE_OFF
4CHALLENGE_4DIFFICULTYSOLUTIONTRADE_OFF
5CHALLENGE_5DIFFICULTYSOLUTIONTRADE_OFF

Deep Dive: Most Interesting Challenge

Describe your most technically interesting challenge in detail: The Problem: What was happening? What was the impact? Investigation: How did you debug/analyze it? Solution: What did you implement? Show code snippets if helpful. Result: What improved? Any metrics?

✅ Best Practices Applied

Security

  • Input validation and sanitization
  • SQL injection prevention (parameterized queries)
  • XSS protection
  • CSRF tokens
  • Rate limiting
  • Secure password hashing (bcrypt/argon2)
  • HTTPS everywhere
  • Secrets in environment variables

Performance

  • Database indexing on frequently queried columns
  • Query optimization (EXPLAIN ANALYZE)
  • Caching strategy (Redis/CDN)
  • Lazy loading / code splitting
  • Image optimization
  • Connection pooling

Developer Experience

  • TypeScript for type safety
  • ESLint + Prettier for code quality
  • Pre-commit hooks (Husky)
  • CI/CD pipeline (GitHub Actions)
  • Comprehensive README
  • API documentation (Swagger/OpenAPI)

Observability

  • Structured logging (JSON format)
  • Error tracking (Sentry)
  • Health check endpoints
  • Metrics collection (Prometheus/DataDog)

📊 Results & Metrics

MetricValueNotes
Response Time (p95)X msTarget was Y ms
UptimeX%Over N months
Concurrent UsersXLoad tested
Database SizeX GBAfter N months
Deploy FrequencyX/weekCI/CD automated

🎓 Learnings & Next Steps

What Went Well

  • LEARNING_1
  • LEARNING_2

What I’d Do Differently

  • IMPROVEMENT_1
  • IMPROVEMENT_2

Future Roadmap

  • FEATURE_1 for v2
  • FEATURE_2 for v2
  • PERFORMANCE_IMPROVEMENT