Hire the autonomous software engineer for your company.

Book demo

Trusted by builders from

Your Ara loop

Signal issue to merged PR and wiki.

Signal issue

Problem captured

ASCII portrait-style image for issue signal
Selected stage

Signal issue

Artifact

Problem captured

Loop output

incoming signal

Defining the Ara software factory

Not a single coding bot. A control system for the whole engineering loop.

01

Model agnostic

Provide API keys for Codex, Claude, local models, or your own stack. Ara routes coding, reasoning, review, speed, and cost across them.

02

Cloud execution

Runs happen in isolated workspaces with durable transcripts, artifacts, branches, and reviewable state.

03

Across the SDLC

Signal, issue, environment, reproduce, fix, verify, PR, review, merge, and wiki from one context.

Code quality across agents

Inspect every agent run and measure whether it shipped better code.

Ara brings issue runs, coordinated workspaces, reproduction evidence, tests, diffs, traces, review gates, audit logs, wiki updates, changelogs, and human control points into one quality surface.
Reproduction qualitybefore proof

Confirm the agent captured the failure before changing code.

Change qualitytests + diff

Inspect the patch, tests, traces, and branch-backed state in one place.

Verification qualityafter proof

Compare recordings, logs, and checks to prove the fix worked.

Learning qualitywiki updated

Measure whether shipped fixes become repo knowledge for future agents.

Trust and control

Autonomy only scales when engineers can see, constrain, and override the system.

Auditable by default

Every meaningful mutation belongs in logs, run events, diffs, and reviewable artifacts.

Humans govern judgment

Risky changes pass through repo rules, merge gates, and review instead of hidden automation.

Secrets stay out of context

Credentials are scoped, encrypted, and referenced by name. Agents get only the boundary they need.

Ready to build the software of the future?

Book demo