Feature
AI Refactoring Tool - Safe Changes With Tests Kept Green
Agentcode restructures code without changing what it does. It refactors against your test suite, keeps the tests green to prove behavior is preserved, and delivers the work as a pull request you can review.
In short
An AI refactoring tool restructures existing code to make it cleaner or simpler without changing its behavior. Agentcode does this safely by working against your real test suite: it makes the refactor, confirms the tests still pass, and only then opens a pull request. Because the suite stays green, you have evidence that behavior is unchanged, and because the change arrives as a reviewable PR, you decide whether to merge. The agent never trains on your code and never merges on its own.
Behavior preserved
Agentcode refactors with your tests running, so a green suite is direct proof that the code still does the same thing.
Small, reviewable changes
The agent keeps refactors scoped and explains them in the PR, so review is straightforward instead of a guessing game.
Shipped as a PR
Each refactor lands as a pull request on your repo with the plan and diff attached. You review and merge.
See it in action
Watch the agent run a task
Pick a task
Plan
- planning
Files changed
Test run
Pull request
You review and merge. Agentcode never merges on its own.
More of what the agent does
See the whole loop on the how it works page, or compare Agentcode to GitHub Copilot.
Put the agent to work
Describe a task and get a pull request you review and merge.