What changes when an AI coding agent is connected to the infrastructure itself, given clear direction, and allowed to work through the problem with you?
Yesterday, Econommi was running at roughly $130 per month on AWS. About two hours later, the same production system was operating on Railway at an expected run rate of $8 to $11 per month. Today AWS business reps reached out to ask we we tore things down!
The 93% reduction is interesting, but depends on needs right? I always knew it was possible but didn't have the guts to try it or allocate time to it. "If it ain't broke, don't fix it" is officially dead with the confidence AI can provide.
Codex first built a parallel Railway environment while AWS remained live. It migrated two API sets, connected parallel Netlify frontends, restored 3,630,700 database rows across all 40 tables, and tested five live application surfaces.
Only after we were sure the database could be backed up, restored, and accessed correctly with all permissions protected and intact did did we reroute production and begin tearing down the redundant AWS infrastructure.
With the right MCP connections across AWS, Railway, Netlify, Auth0, and GitHub, Codex became less like a code generator and more like an infrastructure operator working under direction.
There are platforms that may still make more sense for larger organizations with established engineering teams. For an individual operator trying to safely accomplish a large amount of technical work in a short window, this felt like the most cost-effective agentic setup available today.
