Your developers describe the product or feature. Omega's agents plan it, write the code and the tests, and keep going until the build passes, with no human in the loop. It's built to be reliable on long jobs and to cost less than running frontier models.
Vendor onboarding portal with SSO, document upload and a two-step approval flow. 11 requirements.
services/documentsIf an engineer has to approve every step, the agent saves typing, not time.
Long, multi-step jobs on frontier models get expensive, and the final bill is hard to predict.
Snippets and drafts still need engineers to wire them into a product that actually runs.
Describe the product or feature: what it does, who uses it and what it must connect to.
Agents turn the spec into an architecture and a task plan.
Code and tests are written together, across services, in parallel.
The build keeps going until the test and regression suites pass.
You get a tested release candidate, and it goes to red-teaming.
Developers write what the product should do. Omega turns it into an architecture and a plan of tasks before any code is written, so the build has a clear shape from the start.
Agents work on independent parts of the product at the same time and write the tests alongside the code. Progress is visible task by task.
When a test fails, the agents find the cause, change the code and run the tests again. Nobody has to step in to keep the build moving.
api/documentsWrite what needs to be built, then review a finished, tested release candidate instead of supervising every step.
Hand whole features to agents at a fixed price per seat, starting at $10 per seat per month, instead of open-ended token bills.
Rank models against your own scenarios to see which ones work for the products you build.
Explore Evaluate & rank →Red-teamingEvery release candidate is red-teamed before release, by your team or ours.
Explore Red-teaming →No. Autonomous development runs from spec to tested release candidate with no human in the loop. Your team reviews the finished result.
What the product or feature should do, who will use it, and the systems it has to work with. The clearer the spec, the closer the first release candidate is to what you want.
A tested release candidate: the code, its tests, and the results of the test and regression runs. It then goes to red-teaming before release.
Omega is designed to complete the same jobs for less than running them on frontier models. And because pricing is a fixed amount per seat, long jobs don't create surprise bills.
On your organisation's dedicated cluster on Omega cloud, or inside your own servers if you use Omega on-prem.
We'll build it autonomously, test it, and red-team the result with you.