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Build your software factory with Cosmos

Cosmos runs fleets of agents across your SDLC. They wake on events, do the work, and pull you in only at the checkpoints.

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Trusted by enterprise-scale companies

Adobe
MongoDB
Pure Storage
DXC
DDN
Tekion
Snyk
MoneyGram
Crypto.com
Webflow
Pigment
Adobe
MongoDB
Pure Storage
DXC
DDN
Tekion
Snyk
MoneyGram
Crypto.com
Webflow
Pigment

Triggers.
Not prompts.

A PR opens. An alert fires. A cron hits. A webhook comes in. The right Expert wakes in a sandboxed VM, does the work, and waits for you or kickstarts other Experts to continue the loop. No one typed anything.

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

A loop. Not a task.

A task ends when the agent stops or you close your laptop. A loop is an ongoing system. Build one by just working with our Advisor and push it live in 5 minutes.

The loops
teams run today.

The unglamorous, repetitive middle of the SDLC is where the hours go. These loops carry it: agents and humans side by side, each doing the part they are best at.

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.

Everything you need to build your software factory.

Cosmos gives you the primitives: Experts, environments, triggers, integrations. You build the right factory for your organization.

Prism

Model Router

Any harness, any model. Build your own model router with Prism, or use one of our defaults.

Rename this variable everywhere
Wire up the new webhooks endpoint
Design the sharding migration plan
Prism (Claude + Gemini)
Prism (Claude + Gemini)
GPT-5.6 Terra High
Claude Sonnet 5
Gemini 3.1 Pro
Grok 4.6
Kimi K3
GLM 5.3
Qwen 3.5

Conversational setup

Cosmos Advisor

Describe the loop you want. The Advisor connects the integrations, deploys the Experts, and wires the automations live.

Build a factory for payments-api: reviews, tickets, incidents.
Where should the agents check in with you?
At PR and ticket checkpoints
Only when a run fails
Every run, in Slack
DeployedExpert: Deep Reviewerv1
DeployedExperts: Ticket Dispatcher, Incident Investigatorv1
Armed3 automations: PR opened, ticket created, alert firedlive
Your factory is live. Three loops, three Experts, and checkpoints where you asked for them.
Cosmos Advisor payments-api
Ask anything or type / for commands
15Prism (Claude + Gemini)

MCP

MCP

Use our MCP registry, or add your own. Local, remote, OAuth: all of them work.

Ask anything or type / for commands
15
cloudflareremote
sentryOAuth
datadogremote
playwrightlocal

Your machines, their hands

Self-hosted daemon

Run the daemon and CLI on your machine and expose it to Cosmos. Your environment, your machines, on our platform.

NameMac:build-runner-01
StatusConnected

Preview

Tunneling

Open a tunnel from your cloud VM to preview your work in the browser. Full access control.

dotcomActive
tnl-sb3zmd-dotcom.t.augmentcode.com

Compute

Isolated VMs

Work that stops when a laptop closes is not a factory. Fresh VMs, every session.

meridian-api
Machinestandard-4 · isolated worktree
payments-api
Machinestandard-8 · isolated worktree
data-pipeline
Machinestandard-4 · shared checkout

Codebase context

Context Engine

A live map of your entire codebase, always current, so agents start from real understanding.

Search codebase“where are per-org rate limits enforced”Found 12 files
api/src/middleware/auth.tsapi/src/lib/redis.tsbilling/src/limits.ts+9 more, ranked by structure

Where you work

Deep integrations

Your tools are their tools. Agents read tickets, open PRs, and reply in threads where your team already works.

GitHubConnected
GitLabConnected
JiraConnected
LinearConnected
SlackConnected
Microsoft TeamsConnected

Feedback loop

Self learning

Agents write what they learn back to shared knowledge. Every loop your team builds improves the next one.

Deep Reviewer · findings accepted
94%
+9% since v11

Event driven

Automation

The factory doesn't wait to be prompted. Webhooks, schedules, and events wake the right Expert with the event as its brief.

githubPR openedDeep Reviewer
webhooksnyk: new CVERisk Analyzer
schedulenightly 02:00Dependency audit

Org memory

Shared Knowledge

The work keeps one memory, even when it moves. Files, knowledge, and Experts, shared and versioned across the org.

playbooks/incident-response.mdv12org
M@maya added the rollback checklist
synced into every agent VM

History

Versioning and auditing

Experts, environments, and loops are all versioned and auditable. Every change carries a name.

v14Mmayajust nowcurrent
v13Ssam2d agoRestore

Guardrails

Budget controls

Spend caps per automation, per user, or per group of users.

Code review loop · monthly cap62%
alex@augmentcode.com8.1k
sarah@augmentcode.com5.6k
bob@augmentcode.com2.4k

Software Factory
as Code.

Define your Experts, environments, and event-driven workflows as versioned YAML. Review changes with diffs, apply them through the Auggie CLI, and manage configuration history in Git. To go back, export an earlier version and apply it again.

deep-reviewer.yamlyaml
# deep-reviewer.yaml
kind: expert
spec:
expert:
name: deep-reviewer
model: prism
guidelines: kb://review-standards
triggers:
- source: github
event: pull_request.opened
repository: payments-api
you@laptop · auggie 1.4
$ auggie cloud expert diff -f deep-reviewer.yaml
~ spec.expert.guidelines updated
$ auggie cloud expert apply -f deep-reviewer.yaml
✓ deep-reviewer v14 applied
$ auggie cloud expert export deep-reviewer --version v13
exported v13 · reapply anytime with expert apply
$

Their factories are already running.

Hardware, healthcare, security, enterprise software. These are their numbers, as they reported them. The last one is ours.

Gaming hardware maker

56%

Faster merges. Merge requests handled by Cosmos merge in 21 hours instead of 48, with reviews back in under 8.

Medical device company

10-15x

Faster delivery on a complex legacy-to-cloud migration than the team measured with any other AI tooling.

Cybersecurity company

2.6x

Merged-PR throughput per engineer, from 6.4 to 16.7 a week, with a flat bug rate.

Employee experience platform

6x

Productivity gain on a new agentic system: engineering, product, DevOps, and design shipped in 2.5 months what was scoped at six.

Operations software firm

3 weeks

To ship a product roadmap scoped at six months: 224 pull requests, and full board buy-in.

Enterprise software company

4x

A feature estimated at 60 hours of engineering, completed in 15.

Human services platform

10x

Vulnerability remediation, from about 25 a quarter to 300 in two sprints. 85% of fixes landed on the first attempt.

Augment Code, our own factory

97%

Of code reviews on our repos run through Cosmos. Nothing merges without a human at the checkpoint.

© 2026 Augment Code. All rights reserved.

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