One Architect.
One Codebase.
One Invoice.
DB-driven, multi-tenant, self-hosted. The God Mode architecture: Astro SSR on the frontend, FastAPI + PostgreSQL on the backend, Coolify for deployment.
< ARCHITECTURE_REVIEW />The God Mode Full-Stack Template
< DATA_LAYER />
PostgreSQL as the single source of truth. JSONB for flexible content. pgvector for AI search. RLS for multi-tenant isolation. asyncpg for zero-ORM speed.
< API_LAYER />
FastAPI with Python. Auto-documented endpoints. JWT auth. Background task queue. Webhook processing. CAPI relay. Pydantic validation throughout.
< FRONTEND_LAYER />
Astro SSR reads from DB at request time. React islands for interactive components. Content updates without redeploy. EJS for ultra-fast server rendering.
How chrisamaya.work Works (Real Example)
This site is a live example of the architecture I sell. Every page on chrisamaya.work is stored in a PostgreSQL table called caw_content. When you load /about, Fastify queries the database, gets a JSON array of blocks, renders them to HTML with a JS template function, and serves the result.
Zero redeploy needed for content changes. When I update the about page copy, I update a row in caw_content. The next request serves the new content. The container never restarts.
The schema is four columns: slug, title, blocks (JSONB), and nav (JSONB). The server reads the blocks array and maps each block_type to a render function. Add a new block type by adding a case to the switch statement — no framework, no build step, no deploy needed.
Full-Stack Use Cases
Multi-Tenant SaaS
One codebase serving multiple clients. Row-Level Security in PostgreSQL isolates data. JWT identifies tenant on every request.
DB-Driven CMS Sites
Content stored in PostgreSQL. Pages update without redeploy. Admin UI is a simple SQL interface or a custom dashboard.
AI-Powered Products
FastAPI orchestrates LLMs. pgvector for semantic search. Astro serves the results. Full AI product without third-party SaaS.
Analytics Dashboards
FastAPI aggregates from PostgreSQL. React frontend visualizes in real time. No Tableau. No Metabase. Custom and owned.
API + Portal Combos
Public API for partners + private portal for clients. One PostgreSQL database. Two surfaces. One codebase to maintain.
Headless Commerce
PostgreSQL as the product catalog. FastAPI as the cart/order API. Astro or React as the storefront. No Shopify dependency.
What Breaks in Typical Full-Stack Projects
The most common failure mode: technology chosen before architecture is defined. The stack fights itself from day one.
- ⚠ Mixing REST and GraphQL without a contract — N+1 queries everywhere
- ⚠ ORM chosen for developer convenience, kills performance at 100k rows
- ⚠ Frontend state and backend state diverge — cache invalidation nightmares
- ⚠ Multi-tenancy bolted on after launch — data isolation retrofitted is insecure
Architecture Review for Your Full-Stack Product
Describe what you're building and where the current architecture breaks.
Ship a Production Full-Stack System in 14 Days.
Architecture doc in 48 hours. First production deploy by day 14. Two Q1 slots.
Book an Architecture Review// RELATED_FROM_BLOG
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