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Case studies
AI-native backend Hungaro IT · owned product

Stacknodo

Stacknodo is our own AI-native backend platform. It turns product intent into a production-ready backend — data model, secure REST API, permissions and documentation — so teams can go from idea to a running system without rebuilding the same plumbing every time.

Our role · Product ownership & full engineering Visit: stacknodo.com
Industry
Developer tools · SaaS
Type
Our own flagship product
Model
B2B platform
Our role
Product ownership & engineering
System architecture fig. 01
99.9%
Uptime target
1-click
Rollback
Zero
Vendor lock-in
The problem
  • Every new product starts by rebuilding the same backend plumbing — data models, authentication, CRUD and docs.
  • Keeping documentation and integrations in sync with an evolving schema is slow and error-prone.
  • Letting AI agents act on real data is risky without an isolated, versioned database and one-click restore.
  • AI-assisted and automated changes need security analysis, not blind trust.
  • Off-the-shelf backends often mean vendor lock-in and limited control over your own data.
Goals
  • Go from product idea to a running backend in a fraction of the time.
  • Make the data model, API and permissions a single source of truth.
  • Keep full ownership of data — no lock-in.
  • Bring AI into the backend as real infrastructure, not a bolt-on.
The solution

We built a configuration-first platform: you describe the data model and rules, and Stacknodo generates a documented REST API with authentication and row-level security on standard PostgreSQL. Schema-aware AI agents reason over the live model, and every change is versioned with snapshots and one-click rollback.

Key features
Configuration-first schema with versioning, snapshots & rollback
Auto-generated REST API with authentication & row-level security
Schema-aware AI agents that reason over live data
File storage and auto-generated documentation
Isolated dev / staging / production environments
Full data export on standard PostgreSQL — zero lock-in
Technology
Node.jsPostgreSQLREST APIRow-level securityAI agents
Results
  • From product intent to a documented, running backend in a fraction of the usual time.
  • Schema, API and permissions stay in sync as the single source of truth.
  • Zero lock-in — data is fully exportable on standard PostgreSQL.

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