GitHub Copilot App
Github announced over the last day or so, the Copilot app into technical preview. Not another IDE extension or chat interface, but a standalone GitHub-native desktop application designed around agentic development.
What Is the GitHub Copilot App?
The short version is that it is a desktop application built for working with GitHub Copilot’s coding agent. The Copilot app positions itself as a separate standalone app away from your IDE where you hand off work, steer it as it progresses, and land the change through the normal pull request process.
The framing GitHub is using is “agentic development from the work in front of you.” The starting point is not a blank chat prompt but your actual GitHub context: issues, pull requests, previous sessions, your inbox of things that need attention across connected repositories. That is a meaningful distinction. It means the intent is to reduce the friction between identifying something that needs doing and getting an agent working on it.
Sessions as the Core Abstraction
The concept at the centre of the app is a session. Each session gets its own branch, its own file state, its own conversation history, and its own task state. If you are working on two things simultaneously, they remain isolated from each other. If you step away mid-task, the session persists and you can resume where you left off.
One of the practical frustrations with chat-based AI tooling is that context is fragile. Long conversations accumulate noise, switching between tasks blurs the boundaries between them, and picking up where you left off requires reconstructing context from scratch. The session model is an attempt to solve that structurally rather than through prompt engineering.
The ability to automate repeatable workflows is also notable here. GitHub describes skills and prompts being turned into workflows for things like triage, dependency updates, release notes, and routine pull requests. My understanding is that this is an early capability, and I have yet to play with it in anger, but the direction is clear: the app is intended as an environment for repeatable agentic work, not just one-off tasks.
Steering and Validation
One thing I have appreciated about GitHub’s approach to agentic tooling generally is that they have kept the human in the loop deliberately. The Copilot app continues that pattern. You can review the plan before the agent starts making changes, see a diff of what changed, leave feedback, and guide the next iteration. There is an integrated terminal and browser for running commands and testing previews directly within the session.
The Agent Merge feature is worth calling out specifically. Once you are satisfied with the work, the agent can address review comments, fix failing checks, and merge once your conditions are met. That last step is significant because it means the agent can follow through on the work end-to-end, rather than handing off a PR and leaving you to chase it through CI. Whether that is comfortable depends on how much you trust your branch protection rules and required checks. For teams with rigorous automation, it is a sensible extension of the workflow. For teams without it, I would be more cautious.
Who Can Access It
GitHub Copilot Pro and Pro+ subscribers can sign up for early access as the technical preview expands. Copilot Business and Enterprise subscribers are getting access rolled out through the week, with organisation or enterprise admins needing to have previews enabled and the Copilot CLI enabled in policy settings. There is a dedicated GitHub Copilot app repository for getting started once your plan has access, along with documentation covering installation, required settings, and starting a first session.
How It Compares to OpenAI Codex and Claude Code
The GitHub Copilot App is not operating in isolation. OpenAI shipped Codex, and Anthropic has Claude Code. All three are targeting a similar workflow, long-horizon agentic coding tasks, but they come at it from very different angles.
OpenAI Codex now has its own desktop app on Windows and macOS. OpenAI describes it as a focused desktop experience for working on Codex threads in parallel, with built-in worktree support, automations, and Git functionality. The important distinction is that the app is not just a thin wrapper around ChatGPT. It has a foreground Local mode for working directly in your project on your machine, plus Git worktrees so Codex can run independent background tasks in parallel without disturbing your current checkout. OpenAI also exposes cloud-thread capabilities more broadly in Codex, but for the app itself the worktree and handoff model seems to be the centre of the workflow.
Claude Code takes a different approach. It is still terminal-first in spirit, even though it also spans VS Code, JetBrains, desktop, and web surfaces. The core model is local execution in your actual development environment. You point it at a project directory, it reads the codebase, edits files, runs commands, and works with the tools and configuration you already have in place. That makes it closer to GitHub Copilot CLI in feel, but with a broader set of connected surfaces and deeper support for persistent project instructions through CLAUDE.md files.
Where the GitHub Copilot App differentiates itself is in the GitHub-native framing. Your starting point is not a blank prompt or a terminal but your actual GitHub context, open issues, pull requests, previous sessions, and the normal repo workflow that already exists around them. The session model with isolated branches and Agent Merge is a more opinionated end-to-end workflow story. Whether that integration depth is worth trading away the flexibility of Claude Code’s local execution model or Codex’s parallel worktree flow depends heavily on how your team works.
At this point in the technical preview, until I get access I would not be choosing one over the others. The AI Dev landscape continues to change at a rate of knots that requires understanding the various offerings available.