piezas
compare · piezas vs building it from scratch with ai

Your agent can write a backend in an afternoon. The question is who fixes it at 2am.

This is the real comparison. Most teams choosing Piezas aren't choosing against another platform — they're choosing against the 60,000 lines their coding agent would happily generate instead. So here's the honest version of that trade, including where DIY genuinely wins.

the short answer
Speed isn't the difference — both paths give you a working demo this afternoon. The difference is what you own afterwards. A generated backend is code nobody on your team wrote, reviewed, or debugged, guarding your customers' data. It works in the demo; the failures are the kind that only appear under load, under retry, or under attack — precisely where language models are statistically weakest and where nobody looks until production.
/ side by side
Piezas
DIY with AI
Time to demo
An afternoon.
An afternoon. (Honestly — a tie. If a vendor tells you DIY is slow to start, they're lying.)
Code your team owns
~3,800 lines for a typical business app — UI, routing, glue.
~14,000 lines — including the auth, the job queue, the retry logic, and every edge case the agent improvised.
The hard 20%
Races, idempotency, retries, token refresh, tenant isolation: engineered once, tested, and patched under every app.
Generated per-app, per-prompt. Every regeneration re-rolls the dice on the exact code that must not be wrong.
Security posture
Tenant isolation at the data layer, mandatory MFA, secrets encrypted at rest, signed webhooks, immutable audit logs — designed to SOC 2 / ISO 27001 expectations.
Whatever the agent remembered that day, on an npm supply chain that's a sieve. Reviewed by no one.
When it breaks
A team with SLAs is on the hook for the services under your app.
You, alone, in code you've never read — at exactly the moment a customer is watching.
Change over time
The platform hardens underneath you; your app's surface area stays small.
Every fix breeds two new bugs; every new feature touches load-bearing code with no tests it didn't write for itself.
/ one concrete example

The five silent failures every generated backend ships with.

We build on Piezas with coding agents daily, and audit what they produce. The same five defects appear in generated backends over and over — silent, demo-proof, and production-fatal:

  1. The check-then-write race — availability is checked, then booked. Two concurrent users both pass the check. Only a database constraint fixes this, and agents almost never write one.
  2. Duplicate side effects — a double-click or retry creates two invoices, two bookings, two Zoom calls. Idempotency keys are the fix; generated code rarely has them.
  3. The unauthenticated webhook — a receiver that never verifies signatures is a write path anyone on the internet can call.
  4. The reminder that never fires — scheduled work needs fire-once tracking and reschedule handling; generated schedulers quietly drop one, and both ends report success.
  5. The cross-tenant read — one missing WHERE clause between one customer's data and another's.

None of these show up in a demo. All of them show up in month two. On Piezas, each one is the platform's job — enforced at the database and the service layer, beneath anything your agent can generate its way around.

When building it yourself is right

Your backend IS the product — a novel engine, algorithm, or data system no prefab exists for.
You need control that managed services can't offer, and you have the senior engineers to own it.
Regulatory or contractual demands require full source ownership of every layer.
You're learning — building a backend by hand (or reviewing an agent's line by line) is still the best teacher.

When Piezas is right

The backend is undifferentiated: bookings, CRM, invoicing, portals, intake — table stakes your customers never see.
You're a small team using AI to punch above your weight and can't also staff a backend-reliability function.
An enterprise buyer will eventually ask for the audit trail, the isolation story, and the security review.
You'd rather your agent's 60,000 lines be 4,000 — less to generate, review, pay tokens for, and break.

The honest framing: AI made writing a backend cheap, and owning one expensive. DIY is the right call when the backend is your moat. When it isn't, every generated line is a liability with your name on it — which is the entire reason Piezas exists.

Try it on one feature.
$ npx piezas init — free, two apps hosted
Start building