Build your software factory.
Connect agents, codebase context, and automated workflows. Move work from spec to verification with Cosmos, and keep your engineers in control.
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01 / The system
What is a
software factory?
A software factory is a repeatable system that connects the stages of software delivery. Requests enter as tickets, pull requests, or alerts. Defined workflows turn them into changes, verification evidence, and work ready for human review.
In an AI software factory, agents carry the repetitive middle of that process. Shared context keeps them grounded in the same codebase and team standards. Quality gates define what must be checked before work moves forward.
Cosmos is the platform for building and running that system. Assemble it loop by loop, starting with the work your team already does.
From the first trigger
to a verified change.
A ticket arrives. An Expert investigates, writes the change, and hands it to review. Your engineers approve at the checkpoints. Connect these loops into a software factory that keeps work moving across your tools and teams.
01 · Ticket
Intent · Scope
02 · Code
Spec · Delegate
03 · Review
Intent · Verify
04 · Deploy
Approve · Release
05 · Monitor
Alert · Correct
↺ back to ticket
Continuous learning · every run improves the loop
Build your software factory
one loop at a time.
Start with the repetitive work your team already does. Give each loop a clear trigger, a useful outcome, and a human checkpoint.
Code review loop
Every PR gets a substantive first-pass review within minutes. Senior engineers review for intent and architecture, not line-by-line diffs.
Ticket-to-PR loop
Assign a ticket; the loop investigates, writes the change, and exercises it end to end. Its outcome feeds the code review loop.
Vulnerability remediation loop
From alert to reviewed fix without a war room. The loop maps the blast radius and hands your team patches to approve, not research to start.
Incident response loop
By the time the on-call engineer joins, the investigation is done: likely cause identified, timeline drafted, context assembled.
The building blocks of your software factory.
Cosmos brings Experts, model routing, integrations, and execution environments together. Configure the system around your codebase, your tools, and your definition of done.
Prism
Model Router
Prism routes every turn to the model that fits it. Heavy reasoning, fast edits, cheap checks, all in one run.
Conversational setup
Cosmos Advisor
Build your factory by just talking to our agent. It connects integrations, deploys Experts, and wires your automations.
15Prism (Claude + Gemini)MCP
MCP
Use our MCP registry, or add your own. Local, remote, OAuth: all of them work.
15cloudflareremotesentryOAuthdatadogremote
playwrightlocalYour machines, their hands
Self-hosted daemon
Same agents on your own machines. Your network, your data, nothing leaves. Cosmos stays the control plane.
Preview
Tunneling
Open a tunnel from your cloud VM to preview your work in the browser. Full access control.
Compute
Isolated VMs
Sandboxed VMs for every session.
Codebase context
Context Engine
A live map of your entire codebase, so every agent starts from real understanding instead of keyword search.
Where you work
Deep integrations
Agents read tickets, open PRs, reply in threads, and update boards where your team already works.
GitHubConnected
GitLabConnected
JiraConnectedLinearConnected
SlackConnectedFeedback loop
Self learning
Agents write what they learn back to shared knowledge. Every loop your team builds improves the next one.
Event driven
Automation
Webhooks, schedules, and events wake the right Expert with the event as its opening brief.
Org memory
Shared Knowledge
One engineer perfects a workflow. The whole org runs it. Files, knowledge, and Experts, shared and versioned.
History
Versioning and auditing
Experts, environments, and loops are all versioned and auditable. Every change carries a name.
Guardrails
Budget controls
Spend caps per automation, per user, or per group of users.
See your factory take shape.
Watch the Cosmos Advisor turn a workflow into a running loop: connect the tools, configure the Experts, and review the plan.
06 / Evidence
See what changed in our own engineering team.
Our published case study follows 17,200 merged pull requests from November 2025 through July 2026 as we expanded agent workflows across engineering.
4.5×
Increase in size-adjusted output per active developer
11.2 → 3.1 hours
Median time from pull request creation to merge
1.9% → 0.4%
Pull requests reverted within 14 days
These are observations from Augment, not a controlled experiment or a forecast for your team. Models, adoption, and the mix of work changed during the study. Revert rate measures only one aspect of quality.
Choose your approach
Find your starting point.
One developer
Interactive coding
Direct the work in your IDE or terminal.
A whole team
Software factory
Connect recurring work across tools and repositories.
Your own system
Custom orchestration
Own the infrastructure, integrations, and operations.
Start with one workflow. Measure the time and cost of an accepted change.
Questions / Answers
Software factory FAQ
What is an AI software factory?
An AI software factory is a repeatable system for delivering software in which agents carry out connected stages of work: understanding a request, planning a change, writing code, testing, and preparing it for review. It combines triggers, shared context, execution environments, and quality gates. Engineers define the goals and decide where approval is required.
How is a software factory different from an AI coding assistant?
A coding assistant helps a developer within a coding session. A software factory connects that kind of work across people, tools, and stages of the software development lifecycle. Events can start the work, agents can hand results to other agents, and the workflow can continue without an open laptop session.
How does a software factory work with CI/CD?
CI/CD provides repeatable checks and delivery pipelines. A software factory adds agent-driven work around those pipelines, such as investigating tickets, implementing changes, interpreting failures, and preparing fixes. Keep your existing tests, branch protections, and release approvals as quality gates.
Does a software factory replace engineers?
Engineers still set requirements, make architecture decisions, define verification criteria, and approve consequential changes. Agents handle repeatable implementation and investigation work. The factory makes those responsibilities explicit so your team can choose where autonomy is appropriate.
What do I need to build a software factory with Cosmos?
Start with a repository, a repeatable workflow, and a clear definition of a successful result. Cosmos provides Experts, codebase context, integrations, triggers, and execution environments. Work with the Advisor to configure the loop, decide when it should run, and set the checkpoints where an engineer reviews the result.
Where should my team start?
Code review is a practical first loop because a pull request provides a clear trigger and a natural review checkpoint. Measure review turnaround and the usefulness of findings, then expand into ticket-to-PR workflows, test coverage, or security remediation as the team gains confidence.