Skip to content

//Cosmos Software Factory Agent

Agent loopsticket to code.

Cosmos takes engineering work from idea to merge-ready code.

  • Events

    Agents wake on events to do the work

    A PR opens, an alert fires, a webhook lands, and the agents start: not a human typing a prompt.

  • Sandboxed

    Work happens in a sandboxed VM

    Each run works in isolation, then waits for a human or kicks off the next Expert in the loop.

  • Fleet

    A fleet of Experts

    Prebuilt Experts for the work every team has. Fork one, tune it to your codebase, and run it org-wide.

  • A task ends when the agent stops or a human does.

    A loop keeps running.

//Overview

What is an AI software factory?

An AI software factory is a set of coding agents that take engineering work from ticket to merge-ready pull request in continuous loops: they wake on events, work in isolated environments, review each other's output and learn from feedback.

Cosmos, the DataObserve Developer software factory agent, runs a fleet of prebuilt Experts (PR Author, Deep Reviewer, Risk Analyzer, Verifier, Ticket Dispatcher and Project Builder) in sandboxed VMs, with model routing, shared org memory, versioning and budget controls per automation.

//Loops that keep running

Loops, notone-off tasks.

Every PR

Code review loop

Every PR gets a substantive first-pass review within minutes.

//A fleet of agents

Prebuilt Experts for the work every team has

  • PR Author

    Ticket to ready-for-review PR.

  • Deep Reviewer

    Line-by-line correctness review.

  • Risk Analyzer

    Auto-approves low-risk changes.

  • Verifier

    Exercises changes against a live environment.

  • Ticket Dispatcher

    Dispatches implementation under backpressure.

  • Project Builder

    Feature to tickets to coordinated PRs.

//Explore more withDataObserve

More from Developer · Software Delivery & Engineering

  • Software Delivery Agent

    From code through prod, the Software Delivery Agent automates your CI/CD and IaC delivery following your policies and golden paths.

    • Software Delivery & Engineering
  • AI DLC

    AI DLC (AI-Driven Development Lifecycle) applies AI across the whole software lifecycle, not just to writing code.

    • Software Delivery & Engineering
  • Agent DLC

    Agent DLC is the development lifecycle for AI agents, extending the pipelines, governance, and controls you already trust for code to the full agent lifecycle.

    • Software Delivery & Engineering
  • Deployments

    The Software Delivery Agent builds continuous delivery pipelines, runs them, and fixes what breaks.

    • Software Delivery & Engineering

//Building blocks

Everything to build your software factory

  • Model routing

    Utilize model routing across any agent harness or model.

  • Isolated VMs and a live Context Engine

    Self-hosted daemons and a live Context Engine map your entire codebase.

  • Org-wide controls

    Shared org memory, full versioning and auditing, and budget controls per automation or user.

//FAQs

Cosmos Software Factory Agent: questions teams ask

  • What is the difference between a coding assistant and a software factory agent?

    A coding assistant helps one developer in an editor. A software factory agent runs on its own when events occur, such as a new ticket or pull request, and produces reviewed, merge-ready changes.

  • Where does Cosmos run code?

    In sandboxed virtual machines, isolated from production, with self-hosted daemons available for teams that keep code on their own infrastructure.

  • Which models does Cosmos use?

    Cosmos supports model routing across agent harnesses and models, so each task can use the model that fits its cost and quality needs.

  • Who approves the code Cosmos writes?

    Your engineers. Cosmos opens pull requests that go through your normal review and merge rules, with its own reviewer and verifier agents checking first.

// Designed for enterprises

We safeguard your company data and protect workspace privacy.

Review security, data handling and deployment requirements with our team.

  • Security and privacy

    Keep sensitive information within your organization’s approved data boundaries.

  • Governance and access

    Define who can access connected data and which actions require approval.

  • Enterprise deployment

    Plan deployment around your infrastructure and operational requirements.

We are HiringJoin the //Leap