While running aickyway, the server actually died at 3 AM once. Data gets lost, or deployments fail.
Let me show you how SuperClaude helps in these situations.
Crisis 1: The Database Crashed
9 AM, Slack notifications are flooding in. API responses are taking 30 seconds.
Step 1: Find the Problem
/sc:analyze --database --slow-queries
Found the issue. JOINing 1 million times on a table without indexes.
Step 2: Identify the Bottleneck
/sc:troubleshoot --bottleneck "posts table full scan"
The problem occurs when joining users and posts tables. There is no index on user_id.
Step 3: Fix Immediately
/sc:implement --hotfix "add indexes to foreign keys"
A migration file is generated. Adding indexes to user_id, category_id, and created_at.
Step 4: Apply Improvements
/sc:improve --query "optimize N+1 queries with eager loading"
ORM queries are modified. What used to query 100 times now processes in 1.
Step 5: Verify
/sc:test --load "simulate 1000 concurrent users"
Response time dropped from 30 seconds to 0.3 seconds. Crisis averted.
Crisis 2: Memory Keeps Growing
Production server memory usage is at 95%. It will die soon.
Step 1: Memory Profiling
/sc:analyze --memory --heap-snapshot
WebSocket connections are not being cleaned up. They remain on the server even after clients disconnect.
Step 2: Identify Root Cause
/sc:troubleshoot --memory-leak "WebSocket event listeners"
Event listeners are not being removed. When 1000 connections pile up, memory explodes.
Step 3: Fix
/sc:implement --fix "cleanup WebSocket connections on disconnect"
Code to remove listeners in the disconnect event is generated. Timers are also cleaned up.
Step 4: Add Monitoring
/sc:implement --monitoring "memory usage alerts"
Alerts come when memory exceeds 80%. Connection count is also tracked.
Step 5: Long-term Observation
/sc:test --stability "24-hour load test"
Running for 24 hours. Memory stays stable.
Crisis 3: Deployment Failed
CI/CD pipeline is red. Client demo is in 2 hours.
Step 1: Analyze Build Logs
/sc:troubleshoot --build-failure "Docker build errors"
Dependency version conflict. Issues from upgrading Node.js 18 to 20.
Step 2: Quick Fix
/sc:implement --fix "lock dependency versions"
package.json is modified. Exact versions are specified. package-lock.json is committed.
Step 3: Retry Deployment
/sc:build --docker --cache "optimize build time"
Using cache. Build time reduced from 10 minutes to 2 minutes.
Step 4: Safety Measures
/sc:implement --ci "dependency vulnerability check"
Adding security scan to CI. Risky packages are automatically blocked.
Deployment completed 30 minutes before the demo.
Team Project: Building a Streaming Platform
4 people building a video streaming platform. 2 week deadline.
Monday Morning: Kickoff Meeting
Team lead divides the project:
/sc:design --architecture "video streaming with CDN"
Architecture is laid out. Divided into upload server, transcoding server, CDN, and player.
Distributing tasks:
/sc:task --create --assign "video upload service (Alice)"
/sc:task --create --assign "transcoding pipeline (Bob)"
/sc:task --create --assign "player UI (Charlie)"
/sc:task --create --assign "CDN integration (David)"
Estimating time:
/sc:estimate --project "team of 4, 2 weeks"
Tight but doable. Setting 2 days buffer.
Monday Afternoon: Environment Setup
Setting up development environment:
/sc:implement --docker-compose "local development environment"
Everyone works in the same environment. PostgreSQL, Redis, MinIO running locally.
Tuesday-Thursday: Implementation
Alice builds upload:
/sc:implement --upload "multipart upload with resume"
Large files upload without interruption. Resumes even if network disconnects during upload.
Bob builds transcoding:
/sc:implement --ffmpeg "adaptive bitrate encoding"
Encoding to 1080p, 720p, 480p, 360p. Converting to HLS format.
Charlie builds player:
/sc:implement --player "video.js with quality selection"
Quality can be changed. 10-second skip and playback speed work.
David connects CDN:
/sc:implement --cdn "CloudFront with signed URLs"
Delivering videos quickly worldwide. Preventing unauthorized downloads.
Friday: Integration
Merging code from 4 people:
/sc:git --merge "resolve conflicts in API endpoints"
Resolving conflicts. API endpoint names overlapped.
Running integration tests:
/sc:test --e2e "upload, transcode, play workflow"
Testing the entire flow of uploading, encoding, and playing videos.
Weekend: Bug Fixing
Bugs flood in on Saturday. Large file uploads fail.
/sc:troubleshoot --upload "timeout on large files"
nginx timeout is 60 seconds. 5GB files cannot be uploaded within 60 seconds.
Changing settings:
/sc:implement --nginx "increase timeout and buffer size"
Increasing timeout to 10 minutes. Also increasing buffer size.
Week 2 Monday: Final Check
Testing performance:
/sc:test --load "100 concurrent streams"
Handles up to 100 concurrent connections. CPU usage at 70%.
Writing documentation:
/sc:document --api "streaming platform API reference"
API documentation is complete. Team members review.
Week 2 Wednesday: Deployment
Deploying to production:
/sc:build --production "with monitoring and logging"
Monitoring is attached. Collecting metrics with Prometheus. Creating dashboard with Grafana.
Deployment checklist:
/sc:document --checklist "production deployment"
Environment variables, database migration, backup, rollback plan are organized.
Success. Streaming platform is up in 2 weeks.
Advanced Mission: Designing a Fintech Platform
A financial platform handling payments, transfers, and loans. Security and stability are top priority.
Phase 1: Domain Design
Dividing financial domains:
/sc:design --ddd "fintech with account, payment, loan"
Divided into account management, payment processing, loan evaluation. Each is an independent service.
Defining events:
/sc:design --event-driven "financial transaction events"
Account creation, deposit, withdrawal, transfer, loan application events exist.
Phase 2: Account Service
Creating and managing accounts:
/sc:implement --service "account management with CQRS"
Separating Command and Query. Writes go to PostgreSQL, reads from Redis.
Tracking balance:
/sc:implement --ledger "double-entry bookkeeping"
Recording all transactions with double-entry bookkeeping. Balance never gets out of sync.
Phase 3: Payment Service
Processing payments:
/sc:implement --payment "distributed transaction with Saga"
Goes through multiple steps. Validation → Balance check → Deduction → Transfer → Completion. Rollback if it fails midway.
Integrating payment gateways:
/sc:implement --integration "Toss, KakaoPay, NaverPay"
Supporting 3 payment gateways. If one dies, use another.
Phase 4: Loan Service
Evaluating credit:
/sc:implement --scoring "credit scoring with ML"
Scoring credit with machine learning. Learning from past transaction history.
Approving loans:
/sc:implement --workflow "loan approval state machine"
Application → Review → Approval → Execution → Repayment. Validation at each step.
Phase 5: Infrastructure
Setting up API gateway:
/sc:implement --gateway "rate limiting and authentication"
Limiting request count. 100 per minute per user. Authenticating with JWT.
Building service mesh:
/sc:implement --service-mesh "mTLS with certificate rotation"
Encrypted communication between services. Certificates are automatically renewed.
Adding monitoring:
/sc:implement --observability "distributed tracing with Jaeger"
Tracking which services a request went through. Finding slow sections.
Phase 6: Security Enhancement
Encrypting financial data:
/sc:implement --encryption "field-level encryption for PII"
Encrypting social security numbers and account numbers. Keys are stored in AWS KMS.
Keeping audit logs:
/sc:implement --audit "immutable transaction logs"
Recording all transactions. Tracking who did what and when. Cannot be modified.
Enabling intrusion detection:
/sc:implement --security "anomaly detection with alerts"
Detecting unusual patterns. Blocks if 100 transfers at 3 AM.
Lessons Learned
Crisis Management
- When problems occur, do not panic and start with
/sc:troubleshoot - Collecting logs makes analysis easier
- With monitoring, problems are found quickly
Team Collaboration
- Dividing structure well at the beginning reduces conflicts
- Defining API specs first enables concurrent work
- The earlier you start integration testing, the better
Large-scale Systems
- Dividing services small makes management easier
- Event-based approach reduces coupling
- Security must be considered from the start
Practical Tips
When Building Quickly
# Prototype fast
/sc:implement --prototype "MVP feature"
# Test only essentials
/sc:test --smoke "critical user paths"
When Building Properly
# Solid with TDD
/sc:implement --tdd "production-ready feature"
# Test thoroughly
/sc:test --comprehensive "all edge cases"
# Document in detail
/sc:document --detailed "API contracts and examples"
Learning Order
Week 1: Build a simple CRUD app Week 2: Build an API server Week 3: Add real-time features Week 4: Challenge microservices
It is okay to go slowly. What matters is building consistently.
Recommended Next Challenges
- Build a payment system
- Create a real-time notification service
- Integrate a search engine
- Build an image processing pipeline
If you are stuck, type /sc:help. It will show you the way.
