AI CodeOps for startups

A startup has more work than people. AI coding agents look like the answer, but a small team cannot afford three things: a broken main branch, a surprise AI bill, or a week spent setting up tooling. AI CodeOps is built to avoid all three.

The problem

Early teams usually have one or two engineers who own everything: features, bug fixes, dependency updates, the deploy. Handing work to an AI agent helps only if someone can trust what comes back without re-reading every line, and only if the cost is predictable. Many teams try a coding assistant, get a burst of pull requests, and then spend the saved time reviewing and fixing them.

How AI CodeOps helps

Nothing to set up

AI CodeOps runs in your browser. Sign in, connect GitHub, GitLab, Bitbucket, Gitea or Forgejo, create a project from a repository, and start a session. The agents run on the platform's servers, so there is nothing to install on laptops and no runners to maintain.

A team of agents, not one

You describe the task. An architect agent plans it, a builder writes the change, a tester runs your tests, and a reviewer and security auditor check the diff. Built-in workflows cover common jobs, such as "Plan, Build, Review & Test", "Dependency Refresh" and "Feature SDLC". You choose the workflow when you start the session.

Changes that are ready to merge, or held

Every change waits at a release gate. Tests must pass, AI findings must be reviewed, and the approvals your policies require must be in. If the AI review could not complete, the change is held instead of slipping through. For a two-person team, that means the second person reviews a change that has already been tested and checked.

Costs you can see and cap

Every session shows what it cost. You can set a spend cap for the workspace and for each workflow, so a runaway task stops instead of draining the budget. See cost controls.

Pick the model per task

On the platform's models, choose Economy, Standard or Premium, or let Auto pick per step: the best tier you have allowance for on planning and review, Standard for writing code, Economy for drafting. If you already pay for a provider such as Anthropic or OpenAI, add your own key to the workspace. See models.

Help when you are stuck

The console has a Help assistant that answers questions about the product. If it can't help, it opens a support ticket with your conversation attached.

What to try first

1. Follow the quickstart to connect your Git host and create a project.
2. Pick a small, well-defined task from your backlog: a bug with a clear reproduction, or a dependency update.
3. Run it with the "Plan, Build, Review & Test" workflow on Auto.
4. Look at the change, the test results and the session cost. Approve it, or ask for changes.
5. Set a workspace spend cap before you hand over bigger tasks.

When you grow

As the team grows, you can invite members with roles (owner, admin, developer, viewer), and seat limits depend on your plan. Policies decide which changes need approval, and the audit log records who changed what. If you later need SSO or custom roles, those come with Enterprise. AI CodeOps is free during the open beta.