articleBest Backend as a Service for Vibe Coding MVPs (2026)
Vibe coding makes code cheap. The best backend as a service keeps auth, realtime data, and pricing predictable so your AI-built MVP can ship today and scale tomorrow.
Ai Ready Backend
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best-practicesAI App Development Needs Agent-Ready APIs (Not “Smart” Agents)
AI app development fails when agents meet brittle APIs. Learn the practical patterns. OpenAPI contracts, structured errors, composable steps, and schema-first design that keeps workflows stable.
guideNext JS Backend RAG: 8 Architecture Diagrams for AI MVPs in 2026
Next JS backend teams building AI apps need the right RAG pattern. Compare 8 architectures, trade accuracy vs cost, and use an MVP checklist to ship reliable, runway-friendly RAG.
tutorialMCP Server Tutorial: Connect Claude to Real Tools Without DevOps
MCP server tutorial for indie builders. Learn how to connect Claude to real tools, then ship safely with GraphQL API, realtime database patterns, and serverless functions that scale.
tutorialFrom Claude Artefacts to a Real App
Backend as a service is the fastest way to turn a Claude artifact demo into a real app. Learn the practical handoff to auth, persistent data, realtime, jobs, storage, and push.
articleHeroku Alternatives for AI-First Startups in 2026 (Cost + Migration Guide)
Heroku alternatives for AI-first founders: compare modern PaaS and BaaS options, avoid lock-in, control costs, and follow a minimal-downtime migration checklist in 2026.
articleFirebase Pricing Traps Guide 2026
Best backend as a service decisions in 2026 hinge on realtime data, auth, and predictable AI costs. Learn where Firebase billing spikes and what safer alternatives fit AI-first founders.
articleBest Open-Source Backend as a Service Solutions for Vibe Coding (2025 guide)
Best open-source backend as a service solutions help AI-first founders ship vibe-coded MVPs fast with real-time data, strong auth, cost control, and an open-source escape hatch.
analysisMCP and AI Agents: Building Agent-Ready Backends in 2025
MCP is reshaping AI workflows by standardizing tool access for AI agents. Learn practical patterns, security trade-offs, and how to build agent-ready backends that scale.