Resources

Guides for backends that run themselves

Practical guides on backend architecture, operating a backend with real users on it, and driving backend changes from a coding agent over MCP. Every claim in these guides describes the live product.

Audience
Developers and founders
Focus
Autonomous backends
Code samples
Real SDK surface

Learning paths

Start with the decision, then go deeper

The guides are organized around three decisions: which backend approach fits your product, what to get right before real users arrive, and how to wire your tools to it.

Choose the right backend

Understand where an autonomous backend fits against no-code tools, traditional engineering, and BaaS platforms — and what "runs itself" actually means.

Design production-ready foundations

Think through data models, auth boundaries, storage, realtime, and the operational surface — monitoring, rollback, and governance — before real users arrive.

Build with coding agents

Connect Claude Code or Cursor over MCP — your agent reads the live schema and builds against real tables, auth, and storage, never a throwaway mock.

Latest guides

Practical reading for shipping teams

Each guide covers one decision — with the trade-offs, the failure modes, and working code where it helps.

Explainer9 min read2026-07-18

What Is AI Backend Generation — and Where Does It Stop Being Enough?

AI backend generation turns a plain-English description into a database, REST APIs, and auth. This guide explains how it actually works, what the output looks like, how to verify it, and why generation alone is not the hard part.

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Guide11 min read2026-07-18

How to Build a Backend Without Coding: A Complete Walkthrough

A step-by-step walkthrough of building a production backend without writing backend code: describing your data model, generating tables and APIs, connecting a frontend with the SDK, handling auth, and changing the schema safely after launch.

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Comparison12 min read2026-07-18

Best Backend Options for Non-Technical Founders in 2026: An Honest Comparison

No-code builders, Supabase and Firebase, AI app builders, autonomous backend platforms, or hiring a developer — a non-technical founder's honest guide to backend options in 2026, with real costs, real failure modes, and a decision framework.

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Guide10 min read2026-07-18

Full-Stack Development with AI Coding Agents: Give Your Agent a Real Backend Contract

Cursor and Claude Code make frontends fast, but agents hallucinate the backend. How to give your coding agent a real API contract instead of mocks — over MCP — and ship full-stack apps dramatically faster.

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Guide10 min read2026-07-18

The Backend Your AI Product Actually Needs (Before You Write a Prompt)

Shipping an AI product means running a backend with unusual demands: conversation storage, vector search, event-driven pipelines, streaming status, and per-user cost control. What that backend needs and how to get it without building it.

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