The TaruviBase blogs

Notes on building enterprise backends in the AI era.

Engineering deep dives, platform playbooks, and hard-won lessons on shipping secure, multi-tenant SaaS, for the teams building the next generation of enterprise software with AI agents and vibe coding workflows.

Latest articles

Straight from the TaruviBase team.

Comparisons · 7 min read · On Substack

Beyond Firebase and Supabase: rethinking backend architecture for enterprise SaaS

Firebase and Supabase provide databases, authentication, APIs, and infrastructure that allow developers to build and scale applications without starting from scratch. Here's what changes when you serve 100 enterprise customers, each with its own permissions, data requirements, and integrations.

Insurance · 7 min read

Backend as a service for insurance software development

Insurance teams are building custom apps again. See how a managed backend handles tenant isolation, RLS, and audit logging so you ship in weeks.

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Architecture · 6 min read

Backend infrastructure: the real AI coding bottleneck

AI writes your frontend in an afternoon. Multi-tenancy, authorization, and audit logging still take months. See where the real bottleneck sits.

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What we write about

Practical, opinionated, built from the platform up.

Fresh articles are on the way. Here's what's coming across the topics we care about most. Subscribe below and we'll let you know the moment new pieces go live.

DB
Architecture

Multi-tenant data models that don't leak.

How per-tenant isolation, hierarchy traversal, and version-controlled migrations hold up as an enterprise product grows.

MCP
AI & MCP

Giving AI agents a backend they can't misuse.

Native MCP, semantic schema, and policy enforcement at the platform layer, so agents move fast without slipping past your guardrails.

JWT
Security

Authorization you define once and enforce everywhere.

RBAC, ABAC, and centralized policy engines, and why scattering auth logic through your code eventually breaks.

🏛️
Industry

What regulated industries actually require.

Audit trails, data residency, and compliance baselines for insurance and other high-stakes enterprise SaaS.

λ
Engineering

From schema to shipped in weeks, not months.

The workflow behind building on a managed backend: serverless functions, auto-generated APIs, and typed SDKs.

⚖️
Comparisons

Beyond Firebase and Supabase.

Where lightweight BaaS tools hit their limits, and what enterprise SaaS complexity really demands from a backend.

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