How a single developer built a production-ready application with AI assistance
Production-quality code at prototype speed.
Strict typing, comprehensive linting, clean architecture—from day one.
Each service is independently deployable with shared types and contracts
Context-aware AI assistance across the entire stack
project/
├── AGENTS.md # Project overview, architecture
├── app/
│ └── AGENTS.md # React patterns, component guidelines
├── server/
│ └── AGENTS.md # FastAPI conventions, API patterns
└── jobs/
└── AGENTS.md # Job scheduling, shared modelsEvery service documents its patterns, so AI assistance is always contextually appropriate
Data as of: February 20, 2026
Feature status: Showcase (project example)
Research performed:
find ~/dev/ANext -maxdepth 2 -name "*full-stack*" -o -name "*deployed*" (no results)Gaps: No specific project repo available for verification; timeline ("4 days") and velocity stats (3 services, 1 developer) are illustrative of the Amplifier-assisted development pattern, not independently verified from git history; no commit data available
Primary contributors: Not attributed (generalized showcase)
Amplifier gives you AI assistance that understands context, follows patterns, and maintains quality.