FULL-STACK // ASTRO + FASTAPI

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.

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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.

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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.

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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
DESIGN [OK] Schema finalized. RLS policies written. No tenant can read another tenant's data.
DESIGN [OK] API contract defined. OpenAPI spec approved. No ambiguity.
BUILD [OK] asyncpg pool configured. Query time avg 8ms on 1M row table.
DEPLOY [OK] Zero-downtime deploy via Coolify container swap.
_ ARCHITECTURE_FIRST: ZERO_TECHNICAL_DEBT

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.

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