The Modh Playbook

Why we never write raw database queries

Type-safe mutations that just work

Server Components changed everything

Schema-first, types-generated, RLS-enforced

Files live next to the route that uses them

Building webhooks that never lose events

RLS: the database does the auth checking

How we think about cache invalidation

5-second CI that catches everything

What we test and why — confidence over coverage

Zero any, generated types, strict mode always on

Factories, mocking, and integration tests that prove it works

When things break: our runbook

Zod schemas at every boundary

Defense in depth for multi-tenant SaaS

Row Level Security as your authorization layer

Retention, rotation, and responsible deletion

CSP, CORS, and webhook signature verification

Every webhook traced end-to-end with searchable tags

Logs that tell a story

Following a request across 6 services

Measuring what matters

Think before you code — 2-3 approaches, then decide

User stories, architecture context, sub-task breakdown

CI passes first, then a rich description with test plan

How we estimate and ship on time

One-way doors vs two-way doors

Three-layer docs for humans + AI

Building with AI agents, not against them

The user should never wait

Composition over configuration

Suspense, streaming, and instant UI

shadcn/ui, semantic tokens, premium by default

Data density over visual impact, scannability first