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.