Continue an AI Agent Session in Your Editor Without Losing Context

What the Copilot to VS Code handoff preserves

The core idea is continuity. When an agent finishes a larger change in the Copilot app, you do not need to copy files, paste a summary, or start a fresh chat in the editor. Opening the session in VS Code brings the task description, the plan, and the conversation into the editor, along with the files the agent changed and the isolated worktree it used. That combination matters because the reasoning behind a choice is often as useful as the code itself, especially when a function was changed in place instead of replaced or a test was added for a specific edge case.

For developers, the practical benefit is a clearer division of work. The agent can handle repetitive or broad implementation steps, while you take over for the parts that need judgment: reading a diff line by line, checking naming and conventions, and deciding whether the change actually solves the requested problem. Because the session stays connected, a follow-up prompt does not need the full background again. You can refer to the updated label or the changed function and the agent should still understand which part of the work you mean.

• Conversation, plan, and task context move into the editor with the session.
• Changed files appear as a reviewable diff in Source Control.
• The same worktree and branch keep the pull request connected.

Review the diff before you trust the change

Opening a session in the editor should start with review, not with more prompting. Look at each changed file, confirm that the code addresses the original request, and check that error handling, edge cases, and tests were considered. Watch for unrelated files that were touched along the way and for changes that drift away from the repository style. If the intent is unclear, ask the agent in the sidebar why it chose one approach over another or which behavior a change could affect. Those questions are cheaper before you edit than after you have built on top of the work.

• Confirm the change solves the stated problem and nothing extra.
• Check naming, style, error paths, and test coverage.
• Ask for the reasoning behind a surprising implementation choice.

Edit by hand, test locally, then push

Once you understand the diff, small refinements are often faster by hand. Renaming a variable, tightening a message, fixing layout, or adding a missing test does not need another agent round trip. You are editing the same worktree, so manual changes build directly on the agent work instead of creating a second copy to reconcile. Then run the project's normal checks from the integrated terminal, such as installing dependencies, running tests, and running lint. Treat agent output like any other contribution: verify it yourself, inspect failures, and check the running app where a browser preview is available.

When the work is ready, review the final diff once more and commit and push from the editor. Because the branch is already associated with the session, pushing updates the pull request that is already tracking the change. Keep your usual review and approval practices in place. The handoff removes the friction of moving between tools, but it does not remove the need for a careful final look.

• Make small, precise edits directly in the session worktree.
• Run tests, lint, and the local development server before committing.
• Push the same branch to update the existing pull request.

A comparable workflow in HuyIDE

HuyIDE follows a similar principle, even though it is a separate desktop editor for macOS, Windows, and Linux. It lets you connect your own AI providers and local models such as Ollama through AI Provider Hub, and it provides Agent Group, Spec Workflow, Memory Search, and HuyCompose for organizing agent work. The practical workflow is the same: let the agent draft the larger change, inspect the changes in the editor, run your project checks, and commit only after you have verified the result yourself. Keeping review and local verification as separate steps protects you when an agent session moves quickly across many files.