AI SaaS Factory (Prompt-to-Working-MicroSaaS)
An automated platform generator that accepts a single problem prompt and scaffolds the complete database schema, REST APIs, UI, authentication, and Docker deployment.
The Problem
What difficult challenge is this experiment tackling?Building standard B2B SaaS prototypes (e.g. school attendance, clinic scheduling, asset tracker) repeatedly burns 2-3 weeks of repetitive boilerplate engineering.
The Hypothesis
What do I believe autonomous AI & engineering can accomplish?A structured code-generation pipeline can autonomously assemble production-grade modular architectures (FastAPI backend + React frontend + SQLite/Postgres + Docker) in under 10 minutes.
System Architecture & Workflow
End-to-end design, data pipelines, and component interactionBenchmark & Empirical Metrics
Accuracy • Latency • Cost • Token Usage • Human InterventionScaffolds a fully functional CRUD application with auth and responsive UI in under 420 seconds with zero manual code fixes.
Security, Privacy & Ethical Guardrails
Risk mitigation, strict boundaries, and sandbox controlsGenerated code enforces parameterized SQL, password hashing with bcrypt, CSRF protection, and JWT security by default.
Lessons Learned & Observations
Empirical findings from prototyping and testingUsing strict microservice templates and AST validators prevents LLM code generation syntax hallucinations.
Next Experiment Iteration
Upcoming modifications, scaling factors, or new hypothesesAdd automated Stripe billing subscription integration into generated SaaS templates.