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Yes—multiple coding agents can build separate features from one Figma prototype at the same time, provided each task has a clear boundary and its own isolated working directory. A practical approach is to map prototype flows into independent feature briefs, give each brief a Git worktree and branch, review the results separately, then integrate and test the combined changes.
Turn prototype flows into development tasks
A Figma prototype is a useful map of user journeys, not a complete implementation specification. Figma describes prototypes as interactive flows made from connected frames; one prototype can contain multiple flows. Start by identifying each flow’s entry point, connected screens, interactive hotspots, user actions, and visible outcome. See Figma’s prototyping guide.
For example, a prototype might show a sign-in journey and a separate account-settings journey. Those are potential task boundaries, but only if each can be implemented and tested without waiting for the other. If both depend on an authentication contract that has not been defined, establish that contract first or sequence the work.
Write a brief for each agent
Each brief should turn a visible journey into a testable change. Include:
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- Observable outcome: what a user can do or see when the task is complete.
- Scope: the files or areas the agent may change, plus explicitly out-of-scope work.
- Acceptance criteria: the expected behavior for the relevant states and interactions.
- Behavior to preserve: existing routes, APIs, styling conventions, or other behavior that must remain intact.
- Validation: the project’s relevant test, lint, build, or other verification commands.
- Dependencies: any shared API contract, prerequisite, generated file, dependency manifest, or shared style that could affect another task.
Assign work concurrently only when its implementation and validation can proceed independently. The VS Code guide to delegating two tasks likewise recommends parallelizing independent tasks and keeping their changes separate.
Give each independent task its own worktree
Git worktrees let one repository have multiple working directories, with more than one branch checked out at a time. That makes them a straightforward way to keep agents’ checked-out files apart. For easier review, start each task from the same known-good base commit or integration branch. Git documents this behavior and the related commands in its worktree reference.
From a clean repository, the general command shape for adding a feature worktree is:
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git worktree listConfirm command details against your Git version and repository state. If you later remove a linked worktree, preserve its changes first and ensure it is clean; the command shape is:
git worktree remove <path>Worktrees isolate files, not every resource
A separate worktree gives an agent a separate checkout, but it does not automatically create isolated ports, databases, or external services. Two agents running the app can still contend for the same port or modify the same shared test database. Use separate test resources where practical, or run checks that share state sequentially. The VS Code delegation guide discusses both task separation and the need to manage shared resources.
Before work begins, check whether briefs touch the same files or shared inputs. Pay particular attention to API contracts, generated files, dependency manifests, shared styles, and runtime state. File boundaries reduce accidental overlap; they do not remove the need to coordinate changes that depend on a common contract.
Choose between separate worktrees and a shared workspace
Separate worktrees are not the only way to manage multiple agents. GitButler documents an approach that manages multiple active branches in one shared worktree. The choice depends on whether filesystem separation or shared local setup matters more for the tasks at hand.
| Consideration | Separate Git worktrees | Shared-worktree approach |
|---|---|---|
| Files | Each task has a separate checkout and filesystem view. | Agents share the same filesystem, so overlapping edits and generated files need close coordination. |
| Runtime | Shared ports, databases, and external services still need deliberate handling. | Can reuse local runtime state, but agents also share that state. |
| Setup | Separate checkouts may require dependency setup. | Can reuse installed dependencies where appropriate. |
| Best fit | Tasks needing distinct checkout or runtime states, or competing implementations that benefit from separate files. | Tasks that can safely share files and runtime state. |
| Review and integration | Separate branches make each task’s diff easier to inspect, but do not guarantee conflict-free integration. | Branch management can keep work organized, but does not provide filesystem isolation. |
GitButler’s explanation of the shared-worktree method is in its parallel-agent documentation. If tasks need incompatible checkout states or competing attempts, separate worktrees are the clearer boundary. If they can share files and runtime state without stepping on each other, a shared workspace may reduce setup overhead.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Review each result, then validate the combination
Keep integration deliberate: review each task against its brief, validate it on its own branch, then integrate tasks one at a time. Afterward, inspect the combined diff and rerun the relevant tests and integration checks. Individually passing tasks do not prove that the combined application works.
- Establish a baseline. Start from a clean, known-good commit and check the existing tests before delegation, following the project’s contribution process.
- Monitor scope. Confirm each agent is working in the intended worktree and editing only the agreed areas. Resolve shared contracts or prerequisites before dependent tasks proceed.
- Review each branch. Compare its full diff with the task brief and acceptance criteria, then run the specified validation commands.
- Integrate sequentially. Merge or otherwise integrate one reviewed result at a time, resolving conflicts and validating after each integration.
- Test the combined state. Inspect the resulting diff and rerun relevant tests and integration checks on the integrated branch.
This workflow is a way to organize parallel work, not a guarantee of faster delivery. The cited documentation gives procedural guidance; it does not establish a productivity multiplier, an ideal number of agents, or a measured reduction in defects for this particular workflow.
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