Production backend generator

Generate the backend your operations require.

Praxis Pro composes a production-oriented Django/DRF or Go/Gin backend from capabilities—not a fixed starter repository.

Agent Wiki
Praxis ProProduction Backend (Praxis Pro)
Choose a production backend stack1 / 7

Praxis Pro generates native projects across the tools teams already use.

BackendDjango + DRF
BackendGo + Gin
DataPostgreSQL
DataRedis
DeploymentDocker
DeploymentKubernetes
InfrastructureTerraform
ObservabilityOpenTelemetry

Built around explicit choices

Select operational capabilities while Praxis resolves opinionated, stack-specific defaults and their dependencies.

2 Backend Stacks

Choose Python with Django/DRF or Go with Gin. Each output follows its ecosystem's native project and dependency conventions.

Deploy across clouds

Compose Docker and Kubernetes output, with optional Terraform for AWS, Azure, or Google Cloud.

Interactive world map visualization

3
Clouds

29
Capabilities

Capability modules

Generate Docker Compose, health checks, structured configuration, security middleware, and observability alongside application code.

Infrastructure you own

Optionally compose Kubernetes and Terraform for AWS, Azure, or GCP without making infrastructure mandatory.

Docker Compose

local operations

Application services, dependencies, and health checks stay runnable together.

Kubernetes

optional orchestration

Generate deployment manifests only when your service needs orchestration.

Terraform

AWS · Azure · GCP

Provision selected cloud infrastructure as source your team owns.

How it works

Production, composed.

Every resolved capability is recorded in schema-version-2 configuration and generated from bundled, testable modules.

01

Capability graph

Dependencies are resolved before generation, so selected modules arrive with the wiring they require.

02

Stack-specific output

Django and Go implementations share intent while retaining native architecture and tooling.

03

Infrastructure optional

Start with Docker Compose and add Kubernetes or cloud Terraform only when the project needs it.

04

Ownership preserved

Generated source is ordinary application code. Your team owns it, audits it, and evolves it.

Questions, answered in detail.

The practical distinctions behind Praxis Pro, its generated output, and where your team remains in control.

What is the difference between Praxis Flow and Praxis Pro?

Is Praxis Pro only for SaaS development?

Can a normal Praxis frontend use a Praxis Pro backend?

Is Praxis Pro a fixed boilerplate?

Does Praxis Pro make an application production-ready automatically?

Which backend stacks does Praxis Pro generate?

Which capabilities can I select?

Are Docker, Kubernetes, and Terraform mandatory?

Which clouds are supported by Terraform output?

How are secrets handled?

Start with production capabilities, not boilerplate.

Choose Production Backend in the Praxis Flow questionnaire and compose the foundation your service needs.