Build projects with a stable, transparent architecture and clear documentation
Routes each order through processing.Adds a review step before an order is completed.
One connected ecosystem
The whole software lifecycle in one place
From brief to prototype
Describe the task in plain language. The platform generates the data model and the interface separately, so you can check the structure before the visuals. Then comes a clickable prototype with test data. You make changes right there, and only then does the platform build the working application.
From prototype to production
Logic specific to this client is added on top. Then come testing and deployment.
Grows with the project
Projects, tickets, defects, manual and automated testing live in one system together with releases, environments and monitoring. Automation scripts use commands such as “click the button” or “find a record by value”, so they can keep working when technical identifiers change.
Data model schema in the new IDE
Control built into the architecture
AI proposes and generates — a human approves the key decisions
Before a change reaches production, it passes several levels of review: data model compliance, relationship integrity, platform architecture constraints, a diff against the previous version, visual review, a test run, and finally human approval.
You set permissions and approval rules for every AI action.