Objectified Code Generation
Production-ready SDKs, server stubs, CRUD, and mock data from your specs.
Code Generation turns every schema and path into working code — typed clients, server stubs, CRUD endpoints, and realistic mock data — across the languages your stack speaks. Keep clients in lock-step with the spec, automatically.
What ships with Code Generation
Every Code Generation surface is wired into the rest of the Objectified platform — no glue code, no separate identity, no bolt-on integrations.
Schema-to-code
Generate DTOs, models, and validators in TypeScript, Python, Go, Java, and more.
Client SDKs
Typed SDKs with built-in auth, retries, pagination, and error envelope handling.
Server stubs
Scaffolds for FastAPI, NestJS, Spring, Go, and ASP.NET — wired to your paths.
CRUD generator
Spin up a working CRUD service from any schema with seeded persistence.
Mock data
Locale-aware fake data tuned by property names, formats, and constraints.
Generation studio
Browse, configure, and preview every artefact before committing.
A look inside Objectified Code Generation
Live design previews from the Code Generation mockup pack — 7 surfaces in total.
Typed client SDKs with auth, retries, and pagination baked in.
Server stubs scaffolded for FastAPI, NestJS, Spring, Go, and more.
Realistic mock-data generator with locale-aware seed data.
The full Code Generation surface map — all 7 screens linked from a single hub.
Use cases
Code Generation is designed around the way real teams actually work — not the way a tool wants them to work.
Stop hand-rolling API clients — pull a typed SDK on every spec change.
Bootstrap a new microservice in minutes from an approved schema.
Power test environments with deterministic, realistic mock data.
- Private template registry with org-approved generators
- Signed artefacts published to private npm / PyPI / Maven feeds
- Reproducible builds with pinned generator versions and SBOMs
- Custom code-style presets (lint, formatter, license headers)
- Pre-merge generator runs in CI with quality gates
- Style-aware generators trained on your repo conventions
- AI-suggested CRUD operations from any schema
- Mock-data tuned by domain (medical, finance, retail, …)
- Auto-generated tests covering happy-path and edge cases
Generators that respect your code style
AI tunes generated code to match your existing patterns — naming conventions, error handling, lint rules — so the output reads like a teammate wrote it.
Every Code Generation AI feature is grounded in your tenant's data, runs under your data-residency policy, and respects every role and ACL the platform enforces.
Every surface in Objectified Code Generation
A look at the 7 screens designed for this suite — covering everything from day-1 onboarding to day-100 operations.
