Multiplayer AI coding for a 50-person engineering team

For a fifty-person engineering organization, "multiplayer AI coding" is three different needs, and no single workspace covers all of them well: engineers need to run agents in parallel on a shared codebase with review, the platform team needs governance over where agents run and what they can reach, and the product, design and operations people need somewhere to build with an agent that is not the engineering backlog. Poly (usepoly.co) serves the third need and says so; the other two are better served elsewhere. This page maps all three.

Need 1: engineers running agents in parallel

Thirty engineers do not want one shared session. They want their own agents, on their own branches, with the results reviewed like any other change. That is the parallel-threads shape: Cursor's team plans and cloud agents, GitHub Copilot's coding agent opening pull requests from issues, Replit Pro with ten agent tasks at once, Superconductor with several implementations per ticket in hosted sandboxes and a QA agent, and AQ with a worktree per task on a VM the team owns. What to ask: whether the pull request carries the agent's reasoning, whether review can be automated by policy, and how spend is attributed when everyone runs on their own subscription.

Need 2: governance

The platform team's question is where the agents run and what they can touch. Coder sells self-hosted governed development environments for developers and agents, with network, identity and image controls. Claude Tag is admin-provisioned per Slack channel and billed from an org balance with a limit. Superconductor and 143 run agents in hosted or self-hosted sandboxes with configurable network access. Any tool that runs agents on engineers' laptops with their own keys, which is most of the live-session tools, is a governance question in itself.

Need 3: the people outside the backlog

Product managers, designers, founders and operations staff at a fifty-person company already use AI tools alone and lose everything in translation between solo sessions. The prototype lives on one laptop; the reasoning lives in one chat history; every decision gets made twice. What they need is a room: one agent, everyone watching, anyone approving, a live preview to put in front of a stakeholder, and a receipt that says what it cost. This is what Poly is for. A product lead and a CEO shaping a new idea, two product managers prototyping a flow before engineering ever sees it, an ops pair building the internal tool nobody will build for them: each is a room with two or three people, and the rooms connect to GitHub so that when the prototype is validated, engineering gets a repository plus a timeline of every decision and why.

Where Poly fits, honestly

• Rooms, not an org. Poly has no organization object, no SSO, no central admin console and no seat management. Each room is invite-only and each person pays for the turns they run. That is right for the pairs in need 3 and wrong for needs 1 and 2.
• One turn at a time per room. Deliberate, and the opposite of what thirty engineers want.
• Hosted sandboxes, no keys. Every turn runs in an isolated container with an allowlisted network and no credentials inside; nobody at the company holds a key for it. For a platform team that is a clean story; for one that wants custody of the machine, it is not.
• Output is an app and commits, not a ticket workflow. Publishing is a static snapshot today.
• Team billing is priced per member and is not yet self-serve; ask.

A sensible stack for fifty people

Engineers on the parallel-threads tool the team already prefers, with pull requests as the shared object. Governance from the platform team's environment choice. And rooms in Poly for the product, design and ops pairs, connected to the same repositories, so their prototypes arrive in engineering as code plus a decision record rather than a slide deck. The buyer's guide has the questions to ask each vendor.