Cloud-native agents
No IDE extension, no workstation setup. Agents run in controlled cloud workspaces.
Your AI software factory
Describe what you need. Coroid plans, builds, tests, and reviews the work in your repository, then delivers a verified pull request for you to approve.
Governed work intake
Requests arrive from people, integrations, reports, and monitoring.
Coroid sanitizes, deduplicates, verifies, and routes the request.
Only trusted work enters the governed production line.
One Quality Graph gates the pull request, release, and canary.
The production line
Architect, developer, QA, and reviewer teams work in tandem, around the clock — no one prompting each step. Models, tests, security, and UX standards are handled on the line — not by you.
Architect, developer, QA, and reviewer teams stand by around the clock — no setup, no prompting.
Mission Control takes the next ready task in priority order, spec attached.
Every change passes QA verification and security checks before it leaves the line.
A verified pull request waits for your approval — then the next task starts.
Product proof
One task, rendered live from the same screens the product runs: spec in, agents at work, checks passed, pull request waiting for you.
01 / Specification
Completeness
87%
Agents validate against the specification, never against a guess.
Goal, business value, user stories, acceptance criteria, and constraints stay inspectable for the whole run.
Autonomous delivery — Running
Coroid picks up ready tasks and takes them through planning, implementation, testing, and review. You set the priorities and approval rules.
Factory status
Coroid is built like infrastructure: restrained, observable, and accountable.
No IDE extension, no workstation setup. Agents run in controlled cloud workspaces.
Specialised agents coordinate around one clear spec instead of producing disconnected suggestions.
Work is validated against acceptance criteria before it reaches your review queue.
An AI software factory coordinates agents to turn clear tasks into tested, reviewed code. Coroid plans, builds, tests, and reviews the work in isolated workspaces, then returns a verified pull request for human approval.
Every task runs the stations of the line, then faces your quality graph — the same compiled set of checks that gates manual runs and GitHub pull requests. It returns one decision, go ahead or redo, with evidence locked to the exact commit. Failed work routes back automatically; you only see what passed.
No. Coroid runs in the cloud. Your team writes specs in the browser and receives pull requests from isolated agent workspaces.
Start with one clear task. Coroid plans, builds, tests, and reviews the work, then delivers a pull request with the evidence you need to approve it.