Vibe Scaler

I profile the app under real traffic and fix the slow paths. That usually means adding caching, moving heavy work into background jobs, and rewriting the queries that drag pages down, so response times stay flat as usage climbs.

The database is where most vibe-coded apps break first. I add the indexes that are missing, fix the N+1 queries an AI tool tends to leave behind, and set up connection pooling so it keeps up as your data grows.

I add error tracking, uptime checks, and dashboards so you find out something broke before your users do. I also set up backups and a fast way to roll back a bad deploy.

I go through your code, database, and hosting, then run the app under realistic load to see where it strains.

You get a short list of what is slowing the app down and what each fix takes, ordered by how much it helps.

I do the work: caching, indexes, background jobs, connection limits, and whatever else the audit turned up. It ships in small changes so nothing breaks at once.

I set up dashboards and alerts so problems surface early, and show your team how to read them.