Orca: A Unified Workspace for Managing AI Coding Agents
Running one AI coding agent in a terminal is straightforward. Managing several agents across different projects is harder. Sessions end up scattered across terminal windows, changes become difficult to compare, and checking an agent's progress often means returning to its output.
Orca approaches this problem as a workspace for AI-assisted development. It brings terminal-based agents, project files, Git worktrees, a browser, and agent activity into one interface. The idea is not to replace tools such as Claude Code or Codex, but to make their sessions and changes easier to manage together.
This article examines how Orca organizes agent workflows, why worktree isolation matters, how its browser annotations connect visual feedback to code changes, and what multi-agent orchestration adds. It also covers where a unified interface helps and where it does not remove the underlying complexity.
What Orca is
Orca is a desktop workspace built around terminal-based AI coding agents. Rather than introducing a separate prompting interface for every agent, it keeps their command-line sessions within a project-oriented graphical interface.
That distinction matters. An agent still runs in a terminal session, with its own commands, permissions, configuration, and model access. Orca adds an organizational layer around those sessions so you can follow activity, inspect files, and manage parallel work without treating each terminal window as a separate workspace.
For example, a project might have one Claude Code session investigating a failing test and one Codex session exploring an alternative implementation. Orca can display them under the same project while keeping their work separate when they use different Git worktrees.
The interface combines a project and agent sidebar on the left, a central area for terminal and file tabs, and a file explorer on the right. That layout provides three kinds of context at once: which project an agent belongs to, what it is doing, and which files are available for inspection.
Terminal sessions remain the foundation
Orca's central workspace uses terminals, so an existing command-line workflow remains recognizable. A Claude Code session, for instance, can be represented by a terminal running the agent's CLI:
The command illustrates how the agent starts. It does not describe an Orca-specific language or a required installation procedure. The agent still handles its own interaction and tool calls inside the terminal.
A request such as the following would be given to the running agent rather than the shell:
Orca's contribution is the surrounding interface. The session remains visible alongside the project, and its activity can be monitored without searching through unrelated windows.
Project navigation and agent activity
The left sidebar groups projects, Git worktrees, and agent sessions. Activity indicators make it easier to distinguish an agent that is working from one that is idle, particularly when several tasks are running at once.
The file explorer provides another form of context. A file changed by an agent can be opened within the workspace, and supported formats such as Markdown can be viewed in a rendered form instead of only as source text. This is useful when an agent modifies a README.md file or produces an asset that is easier to inspect visually.
Orca also presents agent usage and status information in its interface. The available information depends on which agents are configured, and any usage display should not be treated as a substitute for the provider's billing records.
Parallel development with Git worktrees
A common problem with multiple coding agents is that they may edit the same files. Even when the agents are solving different problems, sharing one working directory creates opportunities for conflicting changes, confusing test results, and accidental overwrites.
Git worktrees address the working-directory part of that problem. A worktree is a separate checkout associated with the same Git repository, allowing different branches to be available in different directories at the same time.
Consider a repository with two independent tasks: a checkout bug fix and a dashboard redesign. In a single working directory, switching between them may require stashing changes or waiting for one task to finish. With worktrees, each task has its own directory and checked-out branch.
These directory names are illustrative. The important distinction is that each worktree has its own working files, even though the worktrees share the repository's Git object database.
Orca surfaces worktrees as part of the project hierarchy, making them convenient places to associate agent sessions. Its worktree creation dialog combines branch and source selection with an optional agent choice.
Underneath the interface, the underlying Git concept resembles the following command:
This example creates a new branch, feat/dashboard, from main and checks it out in a sibling directory. Orca's graphical worktree controls provide an alternative to remembering and entering this command.
Worktrees isolate working files, but they do not automatically isolate every external dependency. Two applications may still compete for the same port, database, or shared service. Changes also remain on separate branches until they are reviewed and integrated. That is useful isolation, not automatic conflict resolution.
Visual feedback through the built-in browser
Code changes often need visual verification. A web page may compile successfully while still having incorrect spacing, broken alignment, or an element that does not behave as intended. Text-only prompts can make these problems awkward to describe because the developer and agent may not have a shared reference to the exact element.
Orca includes an in-app browser that can display a locally running application, such as one served at http://localhost:5173. The browser gives the agent workflow a visual surface alongside the terminal and project files.
The annotation feature connects that surface to a more precise request. Instead of describing a vaguely positioned heading, an annotation identifies an element on the page and associates feedback with it.
An illustrative request might read:
The useful part is the context attached to the request. Orca can provide information about the selected page element, including its position in the document structure and relevant styling context, which gives the coding agent a narrower place to investigate.
This is especially valuable for frontend refinement. A visual complaint becomes a more specific code investigation rather than a general request to search the entire page. The agent's proposed change still needs review, though. Selecting an element does not guarantee that the agent identifies the correct component or that the resulting design works across screen sizes.
Coordinating multiple agents
Running multiple agents is different from coordinating them. Separate sessions can work independently, but orchestration introduces a shared goal and a defined way to distribute or compare work.
Orca includes an orchestration capability associated with an orchestration skill. In the source workflow, the skill coordinates Claude and Codex on a redesign task, producing separate implementations that can be inspected afterward.
Parallel approaches to the same task
One use of orchestration is to ask different agents to explore the same requirement independently. For example, a dashboard redesign request might describe the desired visual style while assigning implementations to both Claude and Codex.
In this kind of workflow, each agent can operate in its own worktree. That prevents one implementation from overwriting the other and keeps the resulting differences inspectable.
Parallel implementations can uncover alternatives that a single run might miss. They also introduce costs: more agent usage, duplicated work, and time spent reviewing different results. Two agents producing code does not establish that either implementation is correct.
Why human review still matters
Orchestration changes how solutions are generated, but not what counts as a good result. Each implementation still needs the relevant tests, code review, and visual checks. Combining two branches can also create integration work that the agents did not encounter while operating independently.
The example interface shows a resulting redesigned application in a browser. It illustrates the outcome of an agent-driven UI task, not proof that the design or behavior has been validated in every environment.
Monitoring agents away from the desktop
Long-running agent tasks do not always require continuous interaction. Sometimes the useful question is simply whether an agent has finished or needs attention.
Orca's companion mobile experience is presented as a way to view agent sessions and worktrees away from the desktop workspace. It brings those sessions into a single interface rather than requiring a separate view for each configured agent.
Remote visibility is helpful for status checks, but mobile access does not remove the need to inspect code changes carefully. Reviewing a substantial diff, evaluating a UI, and resolving merge conflicts generally benefit from the larger desktop workspace.
Where Orca fits in an AI coding workflow
Orca is most useful when the problem is coordination rather than code generation itself. It does not replace the underlying models, Git, or a project's development tools. Instead, it provides a common place to operate them.
| Workflow | What Orca adds | What still needs attention |
|---|---|---|
| One coding agent | A terminal session connected to project navigation and file previews | Agent setup, permissions, and output review |
| Several active agents | Session organization and visible activity | Task ownership and resource usage |
| Parallel feature work | Git worktrees associated with separate sessions | Shared services, branch review, and merging |
| Frontend changes | Browser previews and element-level feedback | Responsive testing and visual validation |
| Alternative implementations | Orchestration across isolated worktrees | Comparing quality, testing, and integration |
| Long-running tasks | Mobile visibility into sessions | Final code review and acceptance |
A regular terminal and editor may be sufficient if you use a single agent occasionally. The unified workspace becomes more valuable when multiple sessions, branches, and feedback cycles are competing for your attention.
Final thoughts
Orca brings familiar development tools into one place: terminals for coding agents, Git worktrees for parallel changes, a file explorer for inspection, and a browser for visual feedback. Its orchestration capability extends that model by allowing multiple agents to explore a task separately.
The strongest reason to use it is not that it makes an individual agent more capable. It makes the surrounding workflow easier to see and manage. You still decide which changes are correct, whether the implementation meets your requirements, and when separate branches are ready to come together.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.