CoroidYour AI software factory

Your AI software factory

Transform your ideas into functional software.

Just describe what you require. Coroid handles the planning, building, testing, and reviewing of the code in your repository, then supplies a verified pull request for you to authorise.

Run your first taskSee the production line
  • Isolated cloud workspaces
  • Every PR is linked to its spec.
  • Room for your own checks
Overview of the software factoryRunning
Coroid Mission Control displaying live agent activity, 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

The production line

Specifications 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 illustrating the Coroid production line. Ready tasks enter the delivery process, where four agents handle each task in turn: the architect plans it, the developer implements it, QA checks it and returns it to the developer if the acceptance criteria are not met, and the reviewer approves it. The completed work emerges as a pull request containing its specification, implementation plan, QA evidence, and review sign-off, awaiting your approval prior to merging.

  1. Agent swarm ready

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

  2. New tasks move into the delivery pipeline

    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 delivery — Running

Keep work progressing. Retain full 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?

Each task goes through every stage of the pipeline before facing your quality graph — the identical set of checks that governs manual runs and GitHub pull requests. A single decision results: proceed or redo, with evidence tied to the precise commit. Failed work is sent back automatically; you only view what has 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.

Set your next idea in 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.

Start buildingSee pricing