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Let Copilot agent mode iterate on involved coding tasks

A commenter uses Copilot agent mode to pick files, run commands, and iterate until involved coding work is done.

Done withGHGitHub Copilot

What they did
The commenter says Copilot agent mode becomes useful when you hand it involved coding work instead of tiny edits: jobs where it must decide which files to change, run commands, inspect the repo, and iterate until the task is done. In the thread, examples include starting with plan mode to map a technology upgrade and unit-test coverage, then having agent mode implement it, with the user improving results by adding instruction files, prompts, skills, or custom agents.
How it went
The reported outcome is qualitative rather than numeric: several commenters say this works well for multi-file refactors, debugging, compiling, and fixing errors, while small obvious edits still feel slower than doing them manually. No hard performance numbers are given in the thread.
Worth knowing
The main catch is setup and learning time: commenters stress that agent mode improves once you give it repo-wide context and project-specific instructions instead of treating each chat as self-explanatory.

Try it yourself with GitHub Copilot

In agent mode, complete this task in my [repo]: [describe the task]. Pick the files you need, run the commands to build and test, and keep iterating on any failures until [tests pass or the feature works]. Don't touch [files or folders to avoid], and give me a summary of every file you changed at the end.

Want help getting this working? Join the Vibe Coding Academy ↗ Run by Alex Finn, who also runs this site.

Read the original ↗

Source: Reddit · Undated

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