A browser-based platform where AI agents plan, build, review and test code changes, then hold each one at a release gate until the tests pass, the review is clear and a person approves it.

Do I need to install anything?

No. AI CodeOps runs in your browser, and sessions, tests and terminals run on the platform in sandboxes. There is no CLI or desktop app.

Which Git hosts does it work with?

GitHub, GitLab, Bitbucket, Gitea and Forgejo, including your own GitLab, Gitea or Forgejo server through a personal access token.

Can AI-written code merge without a person?

No. Every AI change waits for an approval, and the person who started a session can't cast the approving vote while someone else in the workspace can.

Is my code used to train AI models?

AI CodeOps doesn't use your code, prompts or outputs to train AI models. The model providers you use process them under their own terms.

How do I keep AI spend under control?

Every session shows what it cost, and a workspace budget stops sessions before they pass the limit you set.

Can I run AI CodeOps on my own infrastructure?

Self-hosted deployment is available to Enterprise customers on request. Everyone else uses the hosted service.

What's the history of the AI CodeOps name?

AI CodeOps was called CodeOps Studio until October 2026. Workspaces, projects and keys carried over unchanged. It isn't related to the CodeOps Studio Android mobile IDE or to CodeOps.ai. AI CodeOps (aicodeops.dev) is built by TechInnoHub.

AI CodeOps

AI Agent

analyzingScanning project structure...

completeFound 12 components, 3 API routes

generatingCreating UserDashboard.tsx...

completeComponent generated with types

File Changes

A src/components/UserDashboard.tsx

M src/routes/index.tsx

A src/api/users.ts

M src/styles/dashboard.css

Terminal

$ bun test

PASS UserDashboard.test.tsx

PASS api/users.test.ts

Tests: 14 passed, 14 total

$ bun run build

✓ Built in 2.1s

Deploy Pipeline

✓Lint

→

✓Test

→

✓Build

→

⟳Deploy

liveProduction → v1.4.2

Open beta · freeRuns in your browser

AI coding agents
that can't merge without proof

AI CodeOps is a browser-based platform where AI agents plan, build, review, test and ship code, and nothing merges until quality gates and a human approve it.

Start free See the live demo

Live on Product Hunt

FreeOpen beta

20+Workflow agents →

BrowserNothing to install

EnterpriseSSO on Enterprise

The lifecycle

One platform, from plan to deploy

Specialised agents at every stage, behind the same gates. Pick a stage to see how it works.

Plan

The architect agent reads your repository and settles the approach before any code is written.

Build

The builder writes the change against your real repository, as a diff you can read line by line.

Review

A review reads the actual diff and records findings by severity. Open high or critical findings block the merge.

Test

Your own test suite runs against the change in a sandbox. Tests count only for the version they ran on.

Secure

A security auditor reviews sensitive changes, policies guard protected paths, and SBOMs are recorded per project.

Deploy

Approved changes deploy through a gate, with every deployment, rollback record and DORA metric kept.

Quality gates

Nothing merges on the AI's word

Every AI change waits at a release gate. It opens a pull request only when all three checks pass. How the gate works

01Your tests passed

Your test suite ran in a sandbox on this exact version. Edit the change and it counts as untested.

02The review is clear

The review read the real diff. Open high or critical findings block until fixed or triaged.

03A person approved it

The person who started the session can't approve it alone when someone else in the workspace can.

An AI session paused at the approval gate, with its changed files and review findings — Interactive demo, sample data.

Command Center

Your AI Lifecycle Console

Monitor agents, review changes, and manage deployments from one place. Click through the interactive demo, no sign-up needed.

AI CodeOps — my-project

📁

🔍

🔀

🧩

🤖

Explorer

▾ my-project

▾ src

App.tsx

index.tsx

api.ts

▾ components

Header.tsx

Sidebar.tsx

▸ tests

package.json

tsconfig.json

.gitignore

App.tsxindex.tsxapi.ts

1import { createSignal, onMount } from "solid-js"

2import { fetchUsers } from "./api"

3import { Header } from "./components/Header"

5export default function App() {

6 const [users, setUsers] = createSignal([])

7 const [loading, setLoading] = createSignal(true)

9 onMount(async () => {

10 const data = await fetchUsers()

11 setUsers(data)

12 setLoading(false)

13 })

15 return (

16 <div>

17 <Header title="Dashboard" />

18 // TODO: Add user list

19 </div>

20 )

21}

Terminalbashnode

~/my-project $ bun run dev

✓ Server running on http://localhost:3000

✓ Hot reload enabled

Watching for file changes...

~/my-project $ ▊

mainTypeScriptUTF-8Ln 15, Col 3

Sample data. Open the interactive demo

Integrations

Connected to Your Git Workflow

GitHub, GitLab, Bitbucket, Gitea and Forgejo, including your own servers. Pick yours to see how it connects.

GitHub

GitLab

Gitea

Forgejo

Bitbucket

✓ Sessions work on your real repository
✓ Push commits and manage branches
✓ Create and review pull requests
✓ Connect with OAuth or a personal access token

Governance

People stay in charge

Human checkpoints on every AI change, and a record of who did what. SSO and longer audit retention come with Enterprise. See our trust center for current security details.

Human checkpoints

Every AI change waits for a person's approval, and policies can require approval for protected paths and deploys.

Every action traced

Each session belongs to the person who started it, and the audit log records who changed what. Signed evidence packs prove how each change shipped.

We don't train on your code

AI CodeOps doesn't use your code, prompts or outputs to train AI models. Secrets are encrypted and never given to agents.

Roles and permissions

Built-in roles from owner to viewer, plus custom roles, decide who can run, approve and configure.

SSO and audit on Enterprise

SAML and OIDC single sign-on, longer audit retention and governance controls, priced per seat.

Self-hosted deployEnterprise only

For Enterprise customers: run AI CodeOps on your own infrastructure. Contact sales.

Why AI CodeOps

How we compare

Side by side with GitHub Copilot code review, on the things that set AI CodeOps apart. As of October 2026.

Capability

AI CodeOps

GitHub Copilot code review

Merge-blocking quality gates

✓ Built in: a change merges only when its tests, AI review and approvals pass

Reviews don't count toward required approvals by default; blocking needs rulesets or GitHub Code Quality ^[1]

Git hosts

✓ GitHub, GitLab, Bitbucket, Gitea and Forgejo

GitHub, and Azure DevOps in preview ^[1]

Where it runs

✓ In the browser: nothing to install, sessions run on our servers

GitHub.com, GitHub CLI and Mobile, and supported IDEs ^[1]

Software bill of materials

✓ SBOM records (CycloneDX and SPDX) per project

SPDX export from the dependency graph, a separate GitHub feature ^[2]

Spend controls

✓ Spend caps per workspace and per workflow, cost per session

Per-seat licenses, billed per assigned seat ^[3]

Pricing

Free during the open beta

Everything in AI CodeOps, with 2M AI tokens a month on the platform's models, or unlimited use with your own model key. See pricing

Free forever for non-commercial open source. Apply →

Questions

What is AI CodeOps?: A browser-based platform where AI agents plan, build, review and test code changes, then hold each one at a release gate until the tests pass, the review is clear and a person approves it.
Is it free?: Yes, during the open beta, with 2M AI tokens a month on the platform's models, or unlimited use with your own model key. Enterprise is priced per seat.
Do I need to install anything?: No. AI CodeOps runs in your browser, and sessions, tests and terminals run on the platform in sandboxes. There is no CLI or desktop app.
Which Git hosts does it work with?: GitHub, GitLab, Bitbucket, Gitea and Forgejo, including your own GitLab, Gitea or Forgejo server through a personal access token.
Can AI-written code merge without a person?: No. Every AI change waits for an approval, and the person who started a session can't cast the approving vote while someone else in the workspace can.
Is my code used to train AI models?: AI CodeOps doesn't use your code, prompts or outputs to train AI models. The model providers you use process them under their own terms.
How do I keep AI spend under control?: Every session shows what it cost, and a workspace budget stops sessions before they pass the limit you set.
Can I run AI CodeOps on my own infrastructure?: Self-hosted deployment is available to Enterprise customers on request. Everyone else uses the hosted service.
What's the history of the AI CodeOps name?: AI CodeOps was called CodeOps Studio until October 2026. Workspaces, projects and keys carried over unchanged. It isn't related to the CodeOps Studio Android mobile IDE or to CodeOps.ai. AI CodeOps (aicodeops.dev) is built by TechInnoHub.

Ready to Ship?

Ship AI-written code you can trust

AI agents plan, build, review and test every change. Your tests, a clean review and a human approval decide what merges.