The Factory Floor
How AI agents and one engineer produce enterprise-grade software
The Production Line
Spec
Every feature starts as a spec file. A terminal brief, a design document, acceptance criteria. The human defines the problem precisely so the agents can solve it without ambiguity.
Agent Build
Claude Code reads the spec and implements the feature. It writes the code, creates the tests, handles edge cases, and formats the PR. A feature that takes a human developer a day takes an agent an hour.
Automated Testing
The CI/CD pipeline runs 660+ tests on every PR. Linting, type checking, security scans. No human in the loop. If tests fail, the agent fixes them.
Human Review
The engineer reviews the PR. Not every line — the tests handle correctness. The human checks architecture decisions, edge cases, and alignment with the product vision. This is the quality gate.
Deploy
Merge to main triggers automatic deployment. Backend to Railway, frontend to Vercel. Zero-downtime deploys. The code is live in minutes.
Monitor
Sentry catches errors in real time. Usage metrics flow through billing. AI costs are tracked to the penny. If something breaks, we know immediately.
The Toolchain
Every Token Counted
We don't just use AI — we measure it. Every AI feature includes cost-per-call tracking, model selection optimization, and budget alerts.
When we migrated our question generator from Sonnet to Haiku 4.5, we cut costs 56% without losing quality. That's not luck — it's engineering discipline applied to AI operations.