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Figma Prototype to Parallel Features: A Practical Guide to Multiple Coding Agents

A practical workflow for mapping Figma journeys to bounded tasks, isolating agent changes with Git worktrees, and validating the integrated result.
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Yes: multiple coding agents can build separate features from one Git repository at the same time, provided their tasks are genuinely independent and their changes are isolated. Start by mapping the Figma prototype’s user flows, turn each suitable flow into a bounded feature brief, give each task its own Git worktree and branch, then review and validate both individual changes and the integrated result.

How to turn a Figma prototype into parallel tasks

Use the prototype to identify user-facing work, not to infer every implementation requirement. Figma describes prototype flows as interactive paths through connected frames, and one prototype can contain multiple flows. A flow’s starting frame, connected screens, hotspots, actions, and visible outcomes help reveal natural feature boundaries. See Figma’s Guide to prototyping in Figma.

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  1. List each user journey and its starting frame.
  2. Trace the frames, interactions, and visible outcomes in that journey.
  3. Group the screens and behavior that make one independently deliverable feature.
  4. Check the codebase for shared APIs, styles, dependency manifests, generated files, and other prerequisites that could make apparently separate tasks dependent.
  5. Define shared contracts or prerequisites first, or sequence the tasks that need them.

A prototype shows intended interactions, but it is not a complete substitute for implementation requirements. Spell out behavior, edge cases, and project conventions in each task brief rather than asking an agent to build “what’s in the Figma.”

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What to include in each agent’s brief

Give every agent a task that can be implemented and tested without waiting on another task. State the observable result, the files or areas it may change, and how you will decide whether it is done. Microsoft’s guide to delegating two tasks without mixing their changes likewise emphasizes independent tasks, clear boundaries, and validation.

  • Outcome: the user-visible behavior or result to deliver.
  • Scope: the allowed files or components, plus areas that must not be changed.
  • Acceptance criteria: observable conditions that determine whether the feature works.
  • Behavior to preserve: existing flows or conventions that must remain intact.
  • Dependencies: API contracts, shared components, generated files, or setup assumptions the task relies on.
  • Validation: the exact project-appropriate tests, checks, or commands to run and report.

If two tasks need to edit the same contract, generated file, or shared style, they are not independent as currently defined. Assign an owner to settle that shared change first, or sequence the work; otherwise agents may make incompatible assumptions even when editing different feature files.

Set up one Git worktree per independent task

Git worktrees attach multiple working directories to one repository, allowing different branches to be checked out at the same time. Git documents this behavior in its git-worktree reference. For ordinary worktree-based parallel development, create one branch and directory per task from the same known-good base commit or integration branch.

git worktree add -b feature/profile /path/to/profile <base-commit-or-branch>
git worktree add -b feature/settings /path/to/settings <base-commit-or-branch>
git worktree list

Replace the example branch names and paths with your project’s names and directory layout. Start from a clean baseline, and check the existing tests before delegation so failures that predate the work are not mistaken for agent regressions. The git worktree list command shows the linked worktrees. After changes are preserved and a worktree is clean, remove it with:

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git worktree remove /path/to/profile

Confirm command details against your Git version and repository state. A separate worktree gives each task its own checked-out files and branch; it does not create a separate Git repository.

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Worktrees or a shared worktree?

Separate worktrees are a good fit when agents need distinct checked-out files, branches, or runtime setups. A shared-worktree approach can suit tasks that can share the same filesystem and local runtime state. GitButler documents this alternative in its parallel-agent documentation. It is not filesystem isolation: agents in a shared workspace can affect the same files, generated outputs, dependencies, and application state.

Consideration Separate Git worktrees Shared worktree
Files Each task has a separate checkout and branch. Agents share the same filesystem, so file changes and generated files are shared.
Runtime resources Separate checkouts do not automatically isolate ports, databases, or external services. Can reuse local runtime state, but agents also share that state.
Setup Separate checkouts may need their own dependency setup. Can reuse installed dependencies where appropriate.
Task fit Useful when tasks need separate checkout or runtime states, or when competing attempts should remain distinct. Useful when tasks can safely share filesystem and runtime state.
Review and integration Task branches make individual diffs easier to inspect, but integration still needs review and testing. Changes share a workspace, so clear task boundaries and careful change tracking matter.

Monitor shared resources and scope

Worktrees isolate checked-out files, not everything an application uses. Agents may still collide if they run servers on the same port, write to the same database, or use the same external service. Check that each agent is using its intended worktree and staying within the brief’s file boundaries. Use separate test resources where practical; if checks share state, run them sequentially.

Review and integrate without assuming the pieces fit

Independent work can reduce direct file overlap, but a clean diff in each branch does not prove the combined features work together. Review each task against its brief, validate it on its own branch, then integrate changes one at a time. After each integration, run the relevant checks; once all changes are combined, inspect the combined diff and run the project’s relevant tests and integration checks again. Microsoft’s delegation guide recommends a known baseline, review, validation after integration, and a final check on the combined result.

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  1. Inspect the full diff for each task against its stated scope and acceptance criteria.
  2. Run that task’s specified validation and address failures before integration.
  3. Merge or otherwise integrate one task at a time, following the project’s contribution process.
  4. Validate after each integration to identify which change introduced a problem.
  5. Review the combined diff and rerun relevant tests and integration checks on the combined branch.

A pass in each separate worktree is evidence about each isolated change, not proof that the combined application behaves correctly. The integrated state needs its own validation.

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