AI will build your SaaS in a weekend but wont protect it from edge cases. I scaled a SaaS to millions of users before Ai. Every item cost me manhours and money. Copy this and give it to your agent so you don't have to deal with the headache later when something breaks or someone tries to break it: 1. SQL Injection: a user types code into your form and reads your whole database 2. Cron Jobs: tasks that run on a schedule, and silently stop running 3. P99 Latency: how slow your app is for the unluckiest 1% of users 4. Idempotency: clicking "Pay" twice should not charge twice 5. Secrets Management: your API keys do not belong in your code 6. CDN: serve files from servers near your users, not one box in Virginia 7. Race Conditions: two actions at the same instant corrupt your data 8. CI/CD: code gets tested and shipped automatically, not by hand 9. Webhooks: other apps notify yours when something happens 10. Sharding: splitting one giant database into smaller pieces 11. Backups: if you've never restored one, you don't have one 12. Liveness & Readiness Probes: is the app alive, and is it ready for traffic 13. Timeouts: never wait forever on a slow service 14. CORS: rules for which websites can call your API 15. Autoscaling: servers added automatically when traffic spikes 16. N+1 Queries: one page load quietly fires 500 database calls 17. Infrastructure as Code: your servers defined in files, not memory 18. Alerts: your phone buzzes before your customers email you 19. Saga Pattern: undoing step 1 when step 3 of a process fails 20. Cold Starts: the first request after idle is painfully slow 21. Caching: store answers so you stop recalculating them 22. DNS: the internet's phone book, and the cause of half of all outages 23. Optimistic Locking: assume no conflict, check before saving 24. TLS: the padlock in the browser bar 25. Rolling Deployments: update servers one at a time, not all at once 26. Message Queues: a line of jobs processed in order 27. Dependency Hell: one library update breaks five others 28. Leader Election: deciding which server is in charge 29. Rate Limiting: stop one user from hammering your API 30. SSRF: tricking your server into calling internal systems 31. Logging: a record of what happened, for when it goes wrong 32. WebSockets: a live two-way connection for chat and real-time updates 33. Cost Optimization: your cloud bill grows faster than your revenue 34. Backpressure: telling upstream to slow down when you're overwhelmed 35. Kubernetes: software that manages your containers at scale 36. Error Budgets: how much downtime you're allowed before you stop shipping features 37. Database Indexing: the reason a query takes 2ms instead of 20 seconds 38. On-Call: someone wakes up at 3am. Is it you? 39. Blue-Green Deployment: run two copies, flip traffic to the new one 40. Exponential Backoff: retry after 1s, then 2s, then 4s, not 1,000 times a second 41. Clock Skew: two servers disagree on what time it is 42. Encryption in Transit: data scrambled while it moves 43. Load Balancing: spread traffic across multiple servers 44. Memory Leaks: the app slowly eats RAM until it crashes 45. Semantic Versioning: what version 2.4.1 actually means 46. Read Replicas: copies of your database that handle reads 47. OAuth: "Sign in with Google" done correctly 48. Event-Driven Architecture: systems react to events instead of constantly asking 49. Failover: a backup takes over when the main system dies 50. Health Checks: is this server okay right now

a status page that only the engineers can read is not really a status page. the people waiting on the fix need the update more than anyone

Tech gossip, no names: the launch tweet said "live now" the status page said "degraded performance" for six hours which tab was truth?

Fair point, false incidents hurt trust more than a manual update does. That is why ScaledPapers lets you choose to be alerted first and confirm the issue yourself before anything goes public, so you decide how automatic it is.

It's basic human psychology, yet so many founders ignore it. "We don't need a status page. We have a Discord channel." When something is wrong with your product, customers look for a status page before they write you. Reporting your outage feels like doing your job while paying you. The first outage report from a customer is a warning. The second is a reason to churn. Keep Discord for features. That's why I built @ScaledPapers. It notices the failure, opens the incident, and updates the status page. Before anyone has to write in.