SpecViber's shared working layer is already strong for individual developer-and-agent work, and the same model extends directly to teams. As team support rolls in, the value isn't just that more people get access — the development work itself becomes easier to understand, coordinate, and steer together.
Team value isn't just about more users. It's about shared readability, fewer collisions between parallel AI work, and clearer forward control.
When more people share the same specs, tasks, status, and relations, the project becomes easier to understand, coordinate, and steer together. Coherence first. Collaboration on top of coherence.
Team members share a common server for metadata — tasks, specs-index, relations, status, assignments — while each developer keeps their markdown files and MCP server running locally. The project still lives in each developer's repo. The team just shares the operational layer on top of it.
The same specs, tasks, status, and progress — for everyone on the team.
It becomes obvious who is doing what, what's next, and what's blocking.
Discussions stay attached to the correct document, task, or action spec.
Work can move between human and AI — and between teammates — without losing context.
Easier to follow development streams and keep momentum without creating chaos.
Parallel AI work in a team can collide fast: two agents editing the same files, missing review, untraceable changes. SpecViber has explicit coordination rules built into the workflow, not just principles on a slide.
No agent — human or AI — can hold more than one in_progress task at a time. This eliminates the most common source of parallel collisions and forces work to be broken down into clear sequential steps.
Tasks declare their file scope. The system warns — or blocks — when two active tasks touch overlapping files, so merge conflicts don't form silently in the background.
A task picked up for work lives on its own branch until it closes. Automatic checkpointing before work begins means any state is recoverable, even if an agent takes a wrong turn.
Tasks with unresolved checkboxes or @user items can't be closed as done — they go to waiting. AI work doesn't bypass human review on anything marked for human check.
When an agent picks up a task, it receives the full context in one call: the task, its source spec, related documents, prior notes, and unresolved comments. Context isn't reconstructed from a chat log every session.
Every status change, comment, and document edit is attributed and timestamped. A team can trace how a piece of work actually moved through — and who (or what) touched it.
Teams choose where the shared metadata server lives. The architecture and code are the same either way.
The team runs its own SpecViber server — on an internal VPS, a company server, or any PHP + PostgreSQL host. You keep full control over data location, auth, and upgrade cadence. Same codebase as the hosted version.
Good fit when data locality, procurement, or internal compliance make self-hosting the simpler path.
SpecViber hosts the team's metadata server. The team admin invites members, members connect their local MCP and files. No VPS to operate. The team is billed on a subscription.
Good fit when you'd rather focus on the work than on running servers.
The team architecture is decided and the codebase is shared with the single-developer path. The team MVP is being built — we describe it here so fit can be evaluated honestly.
If you're evaluating SpecViber for a team today, talk to us. Early team setups help shape the MVP and get priority support.
Team value is strongest when the foundation is already clear. Documents, tasks, status, relations, and verification must first function as a shared reality before you scale them across people. Selling the team story first would undersell that foundation.
Coherence first. Then collaboration on top of coherence.
That's the strongest and most credible public fit right now. The team layer becomes better when the single-developer foundation is already clear — and most team wins compound from a good single-developer experience.
The architecture is decided and much of the codebase is shared with the single-developer path. The organisation/team/member model and role-based access are in delivery. If you want to be one of the first teams on it, contact us — early setups help shape the MVP.
Team members share one server for tasks, specs-index, relations, status, and assignments. Each member keeps their own markdown files and runs their own MCP server locally. Your repo stays where it is — the team just shares the operational layer on top.
Self-hosted gives you full control over data location, auth, and upgrade cadence — suited to teams with compliance or procurement needs. Hosted means we run the server; you focus on the work. Same code, same features. Contact us to discuss which fits.
That's exactly what the coordination mechanisms prevent. One active task per agent is a hard rule. File scope is declared per task, and overlaps are detected. Work lives on its own branch until closed. Review-gates block uncontrolled closure. These aren't guidelines — they're built in.
Not just shared access, but shared readability, clearer ownership, comments in the right context, fewer collisions between parallel AI work, and better forward control of the whole development stream.
Tell us how your team works today, where coordination breaks down, and whether self-hosted or hosted would fit better. Early team setups get priority support as the MVP rolls in.