Production-ready Java backends, generated from your SQL schema. Hours, not months.
A production-ready, 95–100% tested backend in hours — hexagonal, vertical-sliced, monolith or microservices. Your team builds the business logic on top.
You see it running and test every endpoint before any payment.
Your schema stays confidential. NDA on request.
- Java 25
- Spring Boot 4.1
- Hexagonal
- Vertical slicing
- 95–100% tests
See it in action
From a SQL schema to a running, tested backend
A short walkthrough: schema in, hexagonal backend out — generated and verified.
The wrong assumption
“We’ll just hire devs + AI and build it faster and cheaper.”
Reasonable — and wrong. Before a single business rule, weeks-to-months go into setup, architecture decisions, scaffolding every entity across every layer, and the test foundation — exactly the part that silently rots into hidden coupling.
That part is what AlveoForge delivers, correct and tested, in hours. We don’t compare against your whole build — your business logic stays yours; we compare against the production-ready structural layer any team pays for either way.
Why it’s different
Why a dev team + AI can’t replicate this
AI drifts to legacy patterns
AI learned mostly from public code — classic layered MVC. Ask it for real hexagonal and, unsupervised, it drifts toward what it knows. It looks hexagonal; it isn’t.
Deterministic, not probabilistic
Same schema, same output, every time. Audit it once and trust every build. A human + AI team produces something different each run.
Fixed at the source
A bug found once is fixed for every future generation. Conventions and structure are enforced structurally — not by hoping code review catches the drift.
How it works
Guided, end-to-end
- 1
Kick-off call
You share your SQL schema; we review it together and spot edge cases.
- 2
Configuration session
We complete the enrichment file together — modules, boundaries, options. You bring the domain; we handle the technical translation.
- 3
Generation & verification
AlveoForge generates the complete backend; the output is verified before anything is shared.
- 4
Try before you buy
A live instance and a full interactive API preview (Swagger). Every endpoint, testable, before any payment.
- 5
Delivery
Once you’re satisfied, the codebase lands in a private GitHub repo, ready to clone.
By the numbers
Not the same as a dev team + AI
Validated on a real 300+ table schema.
Scope
What you get — and what you don’t
You receive
- ✓Complete, running backend in a private repository
- ✓Real hexagonal architecture + vertical slicing
- ✓Test suite across all 3 layers + e2e (95–100%)
- ✓Monolith or microservices — your choice, no lock-in
- ✓PostgreSQL · MongoDB · Redis, outbox pattern
- ✓Full standard SQL type coverage — arrays, enums, JSONB, UUID, timestamptz, numeric precision, composite & foreign keys
- ✓JWT auth + dev / pre / prod profiles
- ✓Code fully yours + 30-day post-delivery support
You don’t
- ✕The generation factory (stays proprietary)
- ✕Row-level authorization (who may access which row) — your policies on top
- ✕Your business logic and domain-specific rules (e.g. regex)
- ✕Third-party service integrations
As your project grows, each feature is generated as an independent vertical slice, added alongside your code without touching what your team already built. Hexagonal isolates the domain from database, framework and delivery; vertical slicing keeps each feature cohesive — everything that changes together lives together. That’s what lets the backend scale in order and stay fast to work on, instead of decaying into the tangled coupling that freezes teams years in.
Roadmap
Where it’s heading
More languages & frameworks
NestJS and Python (hexagonal) next — and more targets after, beyond Java + Spring Boot.
More architectures
Additional generation targets on the same core.
Self-service platform
Upload schema → preview → pay → repo, no call required.
On the roadmap — not available yet. Available today: the guided Java / Spring Boot service.
About the founder
Built by someone who lived the problem
I’m Álvaro. AlveoForge started from a deadlock I watched up close: a backend that worked but had no real architecture. Rewriting it properly was the right engineering call — but it meant freezing the team for the better part of a year, while clients wanted new features now. No business can afford to stop that long, and that tradeoff is exactly what AlveoForge removes. I spent 11+ months turning real hexagonal architecture at scale into a deterministic factory that delivers a production-ready backend in hours, not months. I’m its first user — validated at scale on a real system. If it convinces you, let’s talk.
LinkedIn →FAQ
Answers by role
General
Is my schema confidential?+
Yes. It’s used only to build your backend, treated as confidential, and an NDA is available on request.
What do I need to provide?+
Your SQL schema to start — the structure (tables, relationships, constraints), not your data or business logic. From there we run a short guided session to capture the domain choices that shape the output: microservice boundaries and their names, whether you want MongoDB / Redis / the outbox pattern, environment profiles, and so on. You bring the domain; we handle the technical translation.
What exactly do I receive?+
A production-ready backend for every entity — hexagonal, tested, runnable. Not your business logic or integrations, which stay with your team. The code is fully yours, no lock-in.
Monolith or microservices?+
Your choice, from the same domain — a modular monolith or one runnable Spring Boot app per module. No rewrite when you switch.
Do I get the generation tool itself?+
No — the factory stays proprietary. You receive the output: professional, tested code you own entirely and can maintain without us.
How is pricing set?+
Per-project, scaling with schema size and complexity. Book a call for a quote.
For tech leads
Real hexagonal, or MVC with hexagonal folder names?+
Real hexagonal with vertical slicing — business logic isolated from database, framework and delivery. It’s the whole reason the factory exists: AI-assisted teams drift toward layered MVC; this doesn’t.
Is the 100% coverage real, or empty tests?+
Methods, lines and branches — every path is executed and asserted, not just run. Mutation testing available on request.
Can my team maintain code it didn’t write?+
Yes — one pattern repeated consistently, standard readable code any Java dev extends from day one, plus a 30-day support window. And you own it: no dependency on us.
What’s the tech stack?+
Java 25, Spring Boot 4.1, hexagonal + vertical slicing, PostgreSQL · MongoDB · Redis with outbox, JWT auth, dev / pre / prod profiles.
What SQL types do you support?+
The full breadth of standard PostgreSQL types — arrays, enums, JSONB, UUID, timestamptz, numeric precision, composite and foreign keys, and more. And generation never fails on a type it doesn’t recognize: it falls back to a safe default (string) that your team can refine later, so you always get a running backend. We flag any such column together in the kick-off — no surprises. That’s why the process is guided.
For agencies
The schema belongs to my client.+
We can work from an anonymized/renamed schema (structure without real names) or under a tripartite NDA. On-premise isn’t offered — the factory never leaves.
Does it grow with the project?+
Yes. New modules are generated as independent vertical slices and added alongside your code — without touching what your team already built.
Same architecture across projects?+
Yes — deterministic output means the same structure every time, so developers rotate between projects with no ramp-up.
Ready to see it on your schema?
Book a call →Your schema stays confidential. NDA on request.
Per-project pricing, scales with schema size and complexity. Book a call for a quote.