TL;DR — I built Maintenant , a 20-feature monitoring tool (Docker + Kubernetes + endpoints + certs + alerts + status page + MCP server), solo, in two months, with Claude Code. AGPL-3.0 open-core, Pro tier at €29/month, real users in production. This post is not a pitch. It's the honest breakdown — what actually got 10x'd, what completely wasted my time, what I'd never claim about AI coding, and why the code was probably the easiest part. If you're a senior dev considering whether to bet on LLM-augmented development, this is what the inside actually looks like.

Everyone's writing "I built X with AI" posts. This one tells you what they leave out.

What I actually built

Maintenant is a Go binary that runs on about 17 MB of RAM at idle.…