Your AI software factory

Turn your ideas into working software.

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.

  • Isolated cloud workspaces
  • Every PR linked to its spec
  • Room for your own checks
Software factory overviewRunning
Coroid Mission Control showing live agent work, queue status, and run capacity
01
Spec in
02
Agents at work
03
PR out
  1. Spec in
  2. Plan
  3. Build
  4. Test
  5. Review
  6. PR out

Governed work intake

Raw signals do not go straight onto the line.

See how Qualification works
  1. 01

    Signal

    Requests arrive from people, integrations, reports, and monitoring.

  2. 02

    Qualify

    Coroid sanitizes, deduplicates, verifies, and routes the request.

  3. 03

    Build

    Only trusted work enters the governed production line.

  4. 04

    Prove

    One Quality Graph gates the pull request, release, and canary.

The production line

Specs in, verified PRs out — without supervision

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.

A looping diagram of the Coroid production line. Ready tasks enter the delivery process, then four agents work each task in sequence: the architect plans it, the developer implements it, QA verifies it and sends it back to the developer when acceptance criteria are unmet, and the reviewer signs it off. The finished work leaves as a pull request carrying its specification, implementation plan, QA evidence, and review sign-off, and waits for your approval before it merges.
  1. Agent swarm ready

    Architect, developer, QA, and reviewer teams stand by around the clock — no setup, no prompting.

  2. New work moves into delivery

    Mission Control takes the next ready task in priority order, spec attached.

  3. Tested and security-checked

    Every change passes QA verification and security checks before it leaves the line.

  4. PR out for review

    A verified pull request waits for your approval — then the next task starts.

Product proof

Watch one task go down the line

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

The spec stays attached to the work from start to finish

87% complete
  • Goal
  • Business value
  • User stories3
  • Acceptance criteria9
  • Constraints2

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 deliveryRunning

Keep work moving. Stay in control.

Coroid picks up ready tasks and takes them through planning, implementation, testing, and review. You set the priorities and approval rules.

A chart of one overnight shift. Six tasks are worked between 18:00 and 06:00: each bar fills as its task is built and turns green when it is ready, while a sweep marks the current hour. By morning the completed work is waiting as pull requests for the team to approve.
ExecutionActive
Ready work moves without supervision
Control pointHuman
Approval remains with your team
HandoffPR
Reviewed work arrives with evidence
WorkspaceIsolated
Each task runs in a bounded environment

Factory status

Professional autonomy, not novelty theatre

Coroid is built like infrastructure: restrained, observable, and accountable.

Cloud-native agents

No IDE extension, no workstation setup. Agents run in controlled cloud workspaces.

Agents in harmony

Specialised agents coordinate around one clear spec instead of producing disconnected suggestions.

Verification first

Work is validated against acceptance criteria before it reaches your review queue.

What teams need to know

What is an AI software factory?

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.

How does it protect code quality?

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.

Do teams need a local setup?

No. Coroid runs in the cloud. Your team writes specs in the browser and receives pull requests from isolated agent workspaces.

Put your next idea into motion.

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.