Fitness tracker on Next.js 16 (App Router), Postgres (Neon) and Better Auth

Next.js 16 App Router: file-based routing, server components, and the Edge proxy (Next 16's renamed middleware).

Postgres on Neon via Drizzle ORM and the postgres-js driver.

Better Auth: self-hosted auth running inside your app against your Postgres (Drizzle adapter).

Fitness tracker: user-owned workout plans, a shared exercise catalog, append-only workout logs, and per-set reps/weight rows.

Database client

import { drizzle } from "drizzle-orm/postgres-js";
import postgres from "postgres";

// Neon pooled endpoint = PgBouncer transaction mode → prepared statements off.
// ponytail: single module-level client; the serverless runtime + PgBouncer do
// the pooling, so no custom pool/globalThis singleton dance needed.
const client = postgres(process.env.DATABASE_URL!, { prepare: false });

export const db = drizzle({ client });

user-owned training plans that group and label a series of workout sessions

shared, user-agnostic library of exercises keyed by unique name and optional muscle group

append-only workout log rows with child log_sets recording per-set reps and weight

Auth runs in proxy.ts (Next 16's renamed middleware) on the Edge runtime: it gates on the session cookie's presence only — full session validation happens in Server Components and route handlers, not in the proxy.

prepare: false is mandatory — Neon's pooled endpoint is PgBouncer in transaction mode, where server-side prepared statements break across the pool.

Drizzle is paired here (not Prisma): Prisma's prepared-statement reliance is incompatible with transaction-mode pooling.

Self-hosted: Better Auth owns the user/session/account/verification tables. This stack emits them (db/auth-schema.ts) and hands them to the Drizzle adapter, so app-type schemas can foreign-key `user` directly.

exercises.name carries a unique constraint — the exercise catalog is shared across all users, so duplicate names are a schema error, not a soft collision.

workout_logs.plan_id is set null on plan deletion, not cascaded — historical logs are preserved even when the originating plan is removed.

Fitness tracker

Three of the four tables are user-scoped and one deliberately is not. workout_plans and workout_logs both foreign-key the auth fragment's user, and log_sets inherits that scoping through its parent log, but exercises is a shared catalog: no owner column, name carrying a unique constraint. A back squat is one row for the whole install, and every set anyone logs points at that same id, which is what makes cross-user aggregates possible at all. It is also the constraint you inherit — a private custom exercise needs a new column or a new table, because the catalog namespace is global.

log_sets is where the volume lives: one row per set, with set_number, reps, and a nullable weight_kg held as exact numeric rather than a float, so 2.5 kg plate increments accumulate without drift and a bodyweight set simply leaves the column null. Its exercise_id reference is the one FK in the schema with no ON DELETE clause, so the catalog is protected by default: the database refuses to delete an exercise any logged set still cites, and history cannot be hollowed out by a catalog cleanup. performed_at on workout_logs has no defaultNow, and that is the point — the column records when the session happened, not when the row was written, so entering Tuesday's workout on Thursday is the normal path rather than a correction.

idx_log_user_time on (user_id, performed_at) turns a month of training into a range scan already in date order. plan_id is nullable and ON DELETE SET NULL: an unplanned session is a valid log, and deleting a plan detaches its history instead of erasing it, which is the exact counterpart to user_id cascading and taking plans, logs and sets with it. The gap to plan around is per-exercise history. log_sets is indexed on log_id only, so the query behind a personal-record chart — every bench press this athlete has ever pressed — walks the user's logs through idx_log_user_time first and joins sets from there.

Next.js 16 (App Router)

Next 16's App Router keeps the whole application under src/: the scaffold runs create-next-app with --src-dir and --import-alias @/*, so `@/` resolves to src/* and the verified files land on top of a stock project rather than replacing it. initCode writes the database client to src/lib/db.ts, then appends the auth fragment's own files — identity tables at src/db/auth-schema.ts, the auth instance at src/lib/auth.ts, a catch-all handler under src/app/api/auth/, and src/proxy.ts. Each file has exactly one owner; the framework never re-emits the ones auth brought. Server code has two shapes here and they are not interchangeable. A Server Component runs on the server and imports { db } from "@/lib/db" directly, so a page can await a Drizzle query with no API route in between.

Anything that needs a URL — an OAuth callback, a Polar or Clerk webhook, a mutation posted from the client — is a route handler at src/app/api/<path>/route.ts exporting GET or POST. Session checking is split across two tiers on purpose. src/proxy.ts (Next 16's rename of middleware.ts; under --src-dir it must sit beside src/app or Next silently ignores it) runs on the Edge runtime with a config.matcher listing the guarded prefixes — /dashboard/:path* and /settings/:path* out of the box. It only asks whether a session cookie exists and redirects to /sign-in when it does not: no database round trip at the edge. The authoritative check is auth.api.getSession() inside the Server Component or route handler that actually reads rows.

What that means when you build on it: widening the protected surface is a one-line change to the matcher array, but the proxy is not the security boundary — a request carrying any session cookie reaches the page, and the page decides. Keep the real check next to the data. The UI overlay follows the same split, with auth screens under src/app/(auth)/ and the shell and dashboard under src/app/(app)/.

Postgres (Neon)

Postgres here is Neon reached through postgres-js, with Drizzle's pg-core dialect on top: drizzle({ client }) over a single module-level postgres(DATABASE_URL, { prepare: false }). That flag is not a preference. Neon's pooled (-pooler) endpoint is PgBouncer in transaction mode, where a backend is handed to a different session between statements, so server-side prepared statements break across the pool — and the same constraint is why this axis pairs with Drizzle rather than Prisma. One client per module is enough: PgBouncer and the runtime do the pooling, so there is no globalThis singleton dance. The schemas built on this dialect make three recurring type decisions. Primary keys are uuid(...).primaryKey().defaultRandom(), so ids come from the database. Timestamps are timestamp(..., { withTimezone: true }).defaultNow() — timestamptz, an absolute instant.

Closed value sets are text plus a CHECK constraint rather than pgEnum, so shipping a new role or subscription status is an ordinary constraint change instead of an ALTER TYPE migration. Counters are bigint({ mode: "number" }), and Better Auth's text user.id is referenced as text by the app tables rather than recast. Operationally, transaction-mode pooling forbids anything that spans statements on one backend: LISTEN/NOTIFY, session-scoped SET, advisory-lock sessions, WITH HOLD cursors. Those paths use Neon's direct endpoint instead. The connection client also changes with the deploy target — max: 1 per short-lived serverless instance, a real reused pool (max 10, idle_timeout 20) in a long-running Node process, and on Cloudflare Workers postgres-js is replaced outright by @neondatabase/serverless over HTTP, because Workers have no TCP sockets.

The capability that exists only on this side of the matrix is row-level security. Multi-tenant schemas ship ENABLE plus FORCE ROW LEVEL SECURITY with policies keyed on current_setting('app.current_org_id', true), which withTenant() sets per transaction — unset context yields no rows, so isolation fails closed inside the database rather than in application code. It requires a dedicated NOBYPASSRLS role: Neon's default neondb_owner carries BYPASSRLS, and connecting as it makes every policy silently inert.

Better Auth

Better Auth is a TypeScript library, not a service. The process that serves your pages is the process that hashes passwords and issues sessions, and the session rows sit in the same database as your application data. This fragment authors the four tables Better Auth expects — user, session, account, verification — into db/auth-schema.ts and passes that module to drizzleAdapter(db, { provider, schema: authSchema }) inside lib/auth.ts. Better Auth never creates tables at runtime; its CLI normally generates them, and authoring them here means the identity schema goes through the same migration proof as the app-type tables.

user.id is a bare text primary key (varchar(255) on MySQL, which cannot index TEXT without a prefix length) carrying no database default, because Better Auth generates the id and sends it in the insert. That is precisely what lets an app-type schema foreign-key user.id and cascade on delete. Session validation happens at two different strengths, deliberately. Next's src/proxy.ts calls getSessionCookie(request), which only asks whether the cookie is present: it runs at the edge, touches no database, and exists to bounce logged-out traffic before render. The authoritative check is auth.api.getSession({ headers }), and it runs inside the protected surface — requireUser() in src/lib/session.ts on Next, requireAuth(request) in app/lib/require-auth.ts on React Router, and the Nitro handler at server/middleware/auth.ts on Nuxt.

The last two do the real lookup on every guarded request, since neither framework has an edge proxy to peek with. The remaining emitted files are the mount: toNextJsHandler(auth) behind a [...all] route on Next, a resource route delegating to auth.handler on React Router, an h3 catch-all wrapping toWebRequest on Nuxt, plus a Vue auth client there. The auth instance imports the db client the framework already exported, so both share one pooled connection. What you inherit is ownership. Sessions join to your own tables, a user delete is a foreign-key cascade rather than a sync job, and drift arrives through your lockfile instead of a vendor's release notes.

The same ownership is the cost: password recovery only delivers if an email fragment is composed in — Better Auth's own server returns 400 "Reset password isn't enabled" until emailAndPassword.sendResetPassword is set — and rotating BETTER_AUTH_SECRET is yours to schedule.