Describe the app you need

Describe what it should do. AI writes the app, then builds and ships it. Full observability from day one.

Development and deployment are the same action.

From description to liveDiting
01Commit
02Build
03Release
04Observe
05Roll back
Intent, generation, build, release, observe.

Born with observability

No second instrumentation step after launch. By the time the release finishes, metrics, logs, traces and sessions are already coming in.

  • Describe the app in natural language
  • Pipeline and image built automatically
  • Release to the target environment
  • Observability on by default

Describe, generate, release

  1. Describe

    Say what the app does and who uses it, in plain language.

  2. Generate

    AI writes the application and configuration into a repository.

  3. Build

    Pipeline, image and environment are prepared automatically.

  4. Ship

    Release to the target environment, with observability switched on.

Manual steps removed

01

Scaffolding

App structure, dependencies and build config generated together.

02

Instrumentation

Capture starts at launch. No SDK to add.

03

Bundle hand-off

Build, release and roll back in one place.

04

Version rollback

Versions and release records stay; go back any time.

How it runs

InputNatural language, optionally a template
OutputApplication code, image, deployment config
TargetKubernetes or hosts
ObservabilityOn at release, no second setup

Fits

  • Internal tools, operations backends and data APIs
  • Teams that need to validate an idea fast

Doesn't fit

  • Large core systems that will evolve for years under an engineering team

Bring your system in

Tell us what you run: OS, kernel, public network or not, virtual machines or clusters. We will map the path in.